ASSET PERFORMANCE CONFERENCE 2024: EMBRACING THE FUTURE OF MAINTENANCE AND RELIABILITY
As we stand at the forefront of a new era in asset management and maintenance, the Asset Performance Conference 2024 promises to be a landmark event, where innovation meets practicality in the pursuit of excellence. This year, we witness a significant shift towards the integration of Generative AI (Gen AI) and Large Language Models (LLMs), such as ChatGPT, into the core of reliability and maintenance practices. The rapid advancement of these technologies is not just a glimpse into the future; it is a transformative force that is reshaping how we think about and manage our assets today.
Building on the momentum of previous editions, this year’s conference introduces a dedicated track on the application of Gen AI in maintenance and asset management. Here, you will explore a range of pioneering use cases that demonstrate how these technologies are revolutionizing predictive maintenance, enhancing decision-making processes, and driving unprecedented efficiency gains. These sessions offer a unique opportunity to delve into the practical implications of AI-driven solutions, setting the stage for the next wave of innovation in our field.
Our opening address this year focuses on Sustainable Asset Management, a theme that resonates deeply in an age where ESG goals are not just aspirational but essential. The subsequent track on Sustainable Asset Performance will showcase how digitalization in maintenance and asset management is a powerful enabler of sustainability. Through insightful presentations and real-world examples, you will discover how cutting-edge technologies are helping organizations reduce their environmental footprint, optimize resource use, and achieve long-term sustainability goals.
Hosted once again in the inspiring setting of the Flanders Meeting and Convention Center in Antwerp, this conference serves as a global hub for professionals eager to explore the intersection of technology, sustainability, and asset performance. Over two days, you will engage with thought leaders and industry pioneers who are shaping the future of maintenance and reliability. From interactive workshops to thought-provoking keynote presentations, every aspect of the conference is designed to provide actionable insights that you can take back to your organization.
The Asset Performance Conference 2024 is not just an event; it is a catalyst for change. Whether you are here to explore the latest technological advancements, learn from successful industry cases, or network with peers, you will find ample opportunities to enrich your knowledge and drive your organization forward.
As we embark on this journey together, I invite you to fully immerse yourself in the wealth of knowledge and expertise that this conference offers. The future of asset management is here, and it is more exciting and transformative than ever before.
We look forward to welcoming you and hope that this conference inspires you to push the boundaries of what is possible in digitizing operations, reliability, maintenance and asset management.
WIM VANCAUWENBERGHE
Conference Director
We keep the world turning while saving energy every day
18:00 - 18:45 Opening reception 16:45 End of event
18:45 - 19:45 Keynote presentation
19:45 - 21:45 Walking dinner
21:45 End of event
TOPICS AT ASSET PERFORMANCE
WEDNESDAY NOVEMBER 13
Sustainable Asset Performance
• Generative AI & LLM in Operations, Maintenance & Asset Management
• Human Centric Digital transformation Smart Maintenance & Reliability 5.0
• Reliability 5.0
• Workshops
THURSDAY NOVEMBER 14
• Asset data strategies & Data modeling Human centric innovation in Operations & Maintenance
• Asset Management 5.0
• Digital twins Smart service & supply chains
• Workshop
• Innovation pitches
WEDNESDAY NOVEMBER 13 09:00 MARK HAARMAN Founder, Mainnovation p. 13 18:45 ANN WAUTERS Icon of international women’s basketball p. 21
INTELLIGENT PROCESSES
HOW THE OSAPIENS HUB INCREASES EFFICIENCY IN ASSET PERFORMANCE AND MAINTENANCE EXECUTIONUNDERSTANDING THE 4 D’S
The introduction of an intelligent asset management platform opens up a multitude of new opportunities. Where data was once isolated in different systems like ERP, MES, and asset management, it can now be integrated through a modern software solution, unlocking innovation and differentiation.
Maintenance management teams are
under increasing pressure to cut costs and allocate resources more efficiently. Inflation, rising energy prices, and higher labor costs strain budgets and make it harder to maintain high-quality service.
At the same time, equipment repair and maintenance are becoming more challenging: complex systems require specialized skills, tools, spare parts, and
AI AND ENTERPRISE ASSET MANAGEMENT
up-to-date expertise. These requirements must also be met for a large installed base of machines, some of which have been in operation for years.
Lastly, regulatory requirements and the importance of environmental, social, and governance (ESG) criteria are growing. For example, the EU Corporate Sustainability Reporting Directive (CSRD) requires companies to be far more transparent about their environmental and social impacts. This pressure is particularly intense in energy-intensive sectors like manufacturing and utilities. ￭
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ARTIFICIAL INTELLIGENCE WILL TRANSFORM ENTERPRISE ASSET MANAGEMENT (EAM)
Improved asset management
EAM, in particular, is an area where AI is set to have a significant impact.
In recent years, EAM software have proven a popular way of managing and maintaining physical ‘things’ such as buildings, plants, machinery, and vehicles. Such platforms are increasingly deployed by organizations in sectors such as chemicals, food, and logistics to improve reliability, streamline operations, and help ensure the highest levels of health and safety. More specifically, EAM can provide
a comprehensive overview of the productivity and costs of assets and enable the optimization of uptime through ideally coordinated maintenance management.
But technology is moving fast. Now, integrating AI into EAM platforms could radically enhance capabilities, resulting in higher employee productivity and further maximizing asset performance, with all relevant data protection in place. By leveraging AI, future EAM toolsets will be more intuitive, accessible and predictive, therefore driving unprecedented efficiency and effectiveness in asset management practices. That is the exciting potential, for sure, but getting there means some obstacles still need to be overcome.
So, what is the AI-inspired future of EAM?
Let us start by taking a step back and
acknowledging that AI is only a means to an end. EAM users don’t want to deploy AI for the sake of it—they want it to solve their business problems and make their lives easier. They also want complete control over its implementation and outcomes. AI is not a panacea; it is merely a toolset that can potentially deliver tremendous business advantages.
Curious what benefits? And how IFS Ultimo plans to apply AI in the software? Then read the entire article on our website: https://www.ultimo.com/blog/ ai-for-everyone/ ￭
HOW ARTIFICIAL INTELLIGENCE IMPROVES YOUR MAINTENANCE PROCESSES
Artificial intelligence (AI) revolutionizes maintenance by enhancing efficiency, precision, and reliability. Techniques like machine learning and deep learning analyze vast data to predict issues, minimize unplanned downtime, and optimize resource use.
Types of AI in Asset Maintenance
1. Predictive Maintenance: Analyzes data to forecast issues.
2. Condition-Based Maintenance: Uses sensors to monitor asset conditions and trigger alerts.
3. Fault Detection and Diagnosis: Employs algorithms to identify and diagnose faults.
4. Cognitive Maintenance: Uses natural language processing to interact with technicians and provide maintenance guidance.
AI with Maintenance Planning Systems
AI can be used in combination with a maintenance planning system to enhance and streamline the maintenance process. A maintenance planning system is designed to organize and schedule maintenance
activities and optimize asset availability. AI can analyze data and predict when maintenance is needed, optimizing the planning process and minimizing asset downtime.
By utilizing machine learning techniques, AI can identify patterns in data and detect anomalies, allowing for the prediction of issues before they occur. This means that maintenance can be scheduled based on the actual needs of the assets, rather than a predetermined schedule.
A maintenance planning system can also collect data on the maintenance process and asset performance. AI can then analyze this data to identify improvements in the maintenance process and provide recommendations for enhancements. This can lead to optimization of maintenance scheduling, reduction of maintenance costs, and improvement in asset availability and reliability.
Ready4 Asset Management by SOA People digitizes and automates the
entire maintenance workflow, offering a 360-degree view of all SAP data for simplified management.
Key Features of R4AM
• Dashboards and Preparation
Cockpit: Comprehensive tracking of maintenance activities.
• Parts and Tools Reservation:
Dynamic resource management.
• Visual Planning: Gantt charts for intuitive scheduling.
• Mobile Access: Online and offline access for field engineers.
Benefits of R4AM
• End-to-end maintenance management
• Maximized asset uptime
• Increased visibility of maintenance performance
Investing in Ready4 Asset Management optimizes your maintenance processes, reducing costs and boosting operational efficiency. ￭
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ENHANCING PREDICTIVE MAINTENANCE AT NORDIC SUGAR
INSIGHTS INTO STEAM DRYER OPTIMIZATION
Nordic Sugar, a key player in the sugar production industry and a part of the Nordzucker Group, has been pioneering innovative maintenance strategies at its Nakskov plant in Denmark. As part of their continuous improvement efforts, they have embarked on a significant project to implement predictive maintenance on their steam dryer, a crucial component in their sugar production process. This initiative, led by Anders Jørgensen-Juul, Head of Projects, is setting new benchmarks in the industry.
Nordzucker Group operates several factories across Europe and Australia, employing around 4.000 people. The Nakskov plant, where Mr. Jørgensen-Juul is based, has been at the forefront of integrating advanced technologies into its operations. “We are part of a much larger group, but each plant operates with a degree of autonomy that allows us to innovate
and implement new technologies,” says Jørgensen-Juul.
The Role of the Steam Dryer In the sugar production process, the steam dryer plays a vital role in drying beet pulp. Traditionally, high-temperature drying methods were used, which consumed a lot of energy and made it difficult to reuse the heat. Modern steam dryers, however,
operate on a fluidized bed principle, using hot air heated by primary steam to dry the pulp. This method not only improves energy efficiency but also allows for the recovery and reuse of secondary steam, thereby enhancing sustainability.
“Maintaining the pressure inside the dryer is crucial,” explains Mr. Jørgensen-Juul. “We typically have about 3,5 to 4 bars
ANDERS JØRGENSEN-JUUL Head of Projects, Nordic Sugar
inside, while the ambient pressure outside is much lower. Our challenge was with the outlet valve, which suffered from multiple breakdowns.”
Pinpointing the problem
The unpredictable failures of the outlet valve posed a significant operational risk. “We couldn’t predict when it would break down, and it often happened at inopportune times, leading to unscheduled downtimes,” says Jørgensen-Juul. “This unpredictability was costly and disruptive.”
To address this, Nordic Sugar decided to implement a predictive maintenance strategy using machine learning. “We realized there was a business case for investing in high-end predictive maintenance technologies, even though they are expensive,” notes Jørgensen-Juul.
Implementing Machine Learning for Predictive Maintenance
The implementation process began with extensive data collection. “We gathered data from various sensors and our Distributed Control System (DCS), combining it with historical failure data,” Jørgensen-Juul explains. “The hard part was transforming this data so it could be compiled and used to train the machine learning model.” He also emphasized the importance of data quality. “Good quality data is the foundation of any successful
PREDICTIVE MAINTENANCE CAN SIGNIFICANTLY ENHANCE OPERATIONAL EFFICIENCY AND SUSTAINABILITY.
— ANDERS JØRGENSEN-JUUL Head of Projects, Nordic Sugar
machine learning project. It’s not just about having a lot of data, but ensuring it’s accurate and relevant,” he notes.
In a next phase, the model was trained to recognize patterns that indicated potential failures. “The multidimensional model looks at patterns across different variables and predicts when a breakdown might occur,” says Jørgensen-Juul. “This allows us to estimate the remaining useful life of the component and schedule maintenance accordingly.
Results and Learnings
The results of this initiative have been promising. In the first year, the model’s predictions were off by only 13 days. “This was a significant improvement,” says Jørgensen-Juul. “It allowed us to make more informed decisions about when to perform maintenance.”
However, the project was not without its challenges. “In 2023, our predictions were off by 35 days, which was a setback. We realized that small modifications to the equipment by our technicians had affected the model’s accuracy. The ML algorithm was not trained to consider structural changes in the machine itself. We now understand that even small changes can seriously disrupt the accuracy of the RUL prediction.”
Despite this, the project has yielded valuable insights. “We’ve learned a lot
about the sensitivity of machine learning models and the importance of maintaining a stable system,” said says JørgensenJuul. “These learnings are invaluable as we continue to refine our approach.”
Impact
One of the primary motivations for this project was to create a strong business case for predictive maintenance. “Normally, we run a campaign of 110 days and only see a breakdown after 85 or 90 days,” explains Jørgensen-Juul. “In the past, we would replace the rotor and internal components at the time of the break down and again after campaign end, just to ensure we could complete the following campaign without issues. This was not cost-effective.”
By using predictive maintenance, Nordic Sugar aimed to extend the life of these components. “The goal was to avoid premature replacements and reduce the number of spare parts used. Our first-year success showed that we could predict breakdowns within a 13-day margin, which is a huge improvement,” notes Jørgensen-Juul. “Even with the setback in the second year, we gained critical insights into improving our models and processes.”
Future
Applications and Sustainability
Looking ahead, Nordic Sugar plans to expand the use of predictive maintenance.
“We’re cautious about where we apply machine learning due to its resource demands,” explains Jørgensen-Juul. “But for critical components with high failure costs and limited alternatives for condition-based maintenance, it’s worth the investment.”
The project also aligns with Nordic Sugar’s sustainability goals. “ Sustainability is really gained through predictive maintenance. It helps us extend the life of our equipment, reducing the need for spare parts and minimizing waste,” says JørgensenJuul. “It’s a key part of our strategy to improve resource efficiency and reduce our environmental impact.
The longer we can wait until replacing parts, the more resources we conserve. Maintenance staff, even skilled, can only approximate so much, but machine learning can narrow down the accuracy to about two percent.”
Learning opportunity
The success at Nordic Sugar’s Nakskov
plant offers valuable lessons for the broader industry. “Predictive maintenance can significantly enhance operational efficiency and sustainability,” says Jørgensen-Juul. “However, it’s essential to have a clear business case and a stable system. Also, it’s crucial to involve technical personnel in the process since they are the only ones who can link behaviour and failures of the equipment to the trends in the data.”
Anders Jørgensen-Juul will be presenting the Nordic Sugar case in detail at the Asset Performance 2024 conference in Antwerp, Belgium, on November 13th and 14th, 2024. His presentation will offer a deeper dive into the challenges, solutions, and learnings from the project, providing valuable insights for professionals in the maintenance and reliability fields. Don’t miss this opportunity to learn from a leading expert in the industry. Register now for Asset Performance 2024 and be part of the conversation shaping the future of maintenance and asset management. ￭
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PREDICTIVE MAINTENANCE OF A STEAM DRYER USING A MACHINE LEARNING
PRESENTATION OF THE MORE4SUSTAINABILITY BENCHMARK SURVEY RESULTS
The industry is very aware of the need to become more sustainable. Manufacturing companies are already taking major steps to reduce greenhouse gas emissions and energy consumption. But there is still a gap to be filled in reaching the European climate and energy targets. Sustainable Asset Management could be the answer.
The industry is the largest consumer of fossil energy. So, we are on a mission: the goal is to reduce CO2 emissions by 55% by 2030, and to improve energy efficiency by 32.5%. But what measures can be made by the maintenance department? And which measures have the biggest effect?
Sustainable AM
In the past months four maintenance associations in Belgium (BEMAS), the Netherlands (NVDO), France (MC2) and Germany (FVI) encouraged their network to take part in a large benchmark survey about Sustainable Asset Management. Mainnovation – international consultancy firm in the field of Maintenance
& Asset Management and experienced research agency – led the execution. Mark Haarman, managing partner at Mainnovation, explains: “It is an extensive project, funded by Interreg NorthWest Europe. We started by formulating a Sustainable AM framework. This framework shows 17 best practices which can be used to improve energy efficiency and reduce greenhouse gas emissions.”
Measures with impact
With the MORE4Sustainability benchmark survey, we investigated the extent to which companies are already engaged in Sustainable Asset Management or have plans for the near future. Based on the gathered data, we also gained insight in which measures have the biggest impact to improve energy efficiency and reduce greenhouse gas emissions.
Founder and Managing Partner, Mainnovation
departments are still at the beginning of a more sustainable approach. Haarman: “They are aware of the fact that the company has an obligation to reach the sustainability goals, but the possible measures and also the effect of these options, were not quite clear.”
That is exactly why this survey was conducted. “The benchmark study maps the degree of implementation and the effect of methods and best practices. The insights were used to draw up a comprehensive roadmap, which in a later phase serves as a basis for creating training materials for the Maintenance & Asset Management community.”
Added value
Visit Mainnovation at B3 KEYNOTE PRESENTATION SUSTAINABLE ASSET MANAGEMENT AS A KEY DRIVER IN REACHING THE EUROPEAN CLIMATE AND ENERGY TARGETS
Wednesday November 13, 2024 at 09:00
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The survey focussed on manufacturing companies, situated in one of the four previously mentioned countries. “With a focus on a specific target group we were able to compare apples with apples and create a Roadmap to help this specific industrial sector to implement Sustainable AM”, Haarman explains.
Roadmap
The outcome of the survey confirmed that most Maintenance & Asset Management
We need to take action when it comes to protecting our planet. The MORE4Sustainability benchmark shows that the Maintenance & Asset Management departments play a significant role to achieve this. “This points out the added value of proper and capable Maintenance & Asset Management, now with a focus on sustainability.” ￭
Installing a sensor for predictive maintenance, is it always the right answer? How to make the hype work?
Come and find out with Jonas Vancauwenberghe, Business Expert Asset Performance Management at REPM Dexis (November 13 – 11:15AM )
Driving continuity
Continuously pursuing improvements is the key to being resilient. Now more than ever, expertise and added value matter. By leveraging all the expertise within our unique network, we succeed in helping organisations make the right decisions for production environments and cost-efficient operations while keeping in mind maximum safety for all employees.
Come and meet the REPM Dexis experts on November 13 & 14 at the Asset Performance conference, Booth B8.
Dexis Belgium and REPM Dexis are strategic sponsors and partners of BEMAS.
IMPROVING THE OVERALL PERFORMANCE AND RELIABILITY OF YOUR INSTALLATION IS OUR MAIN GOAL
PREDICTIVE MAINTENANCE AT UNILIN GROUP
LEVERAGING ONLINE VIBRATION MONITORING AND ANOMALY DETECTION
The Unilin Group, part of the larger Mohawk International, is a major player in the European construction and building materials market. With over 30 factories across Europe, Unilin specialises in flooring, insulation materials, and boards used in furniture manufacturing. In this interview, Kurt Dhaene, one of the Group Reliability Managers at Unilin, shares his insights into the company’s transition towards data-driven maintenance and the implementation of predictive maintenance technologies.
A Glimpse into Unilin’s Operations
“Unilin is part of a bigger organization, Mohawk International, but focuses mainly on the European and part of the Asia/Pacific market,” explains Dhaene. “We provide several materials used in construction and buildings, including laminate and PVC floor coverings, insulation materials, and boards for furniture manufacturing.”
Unilin’s commitment to innovation is evident from its approach to maintenance. Dhaene’s role as Group Reliability Manager involves supporting projects across various plants to increase reliability. “We don’t work for a specific plant; instead, we are part of the group organization. We use competence centres to increase the maturity of our plants. My competence centre does that by focusing on using digital tools to reduce repair
time and support the transition from preventive to predictive maintenance,” says Dhaene.
Drivers of Transitioning to Predictive Maintenance
Several factors drive Unilin’s shift towards predictive maintenance. “The typical driver is, of course, reducing costs while maintaining reliability, but equally important are increasing safety and supporting sustainability objectives,” Dhaene emphasises. Using materials as efficiently as possible and minimizing energy use are key components of Unilin’s strategy to balance asset utilization with cost control while contributing to a more sustainable world
Current Status of the Digital Transition
Unilin’s journey towards predictive main-
tenance is well underway. Mr. Dhaene describes their approach: “We develop our initiatives as products, focusing on reusability. Thus we can scale successful pilots across multiple plants.” Some of these products have already moved beyond the pilot phase and are being rolled out across other facilities. For instance, Unilin has implemented systems that transfer data from PLCs to their SAP system, triggering preventive maintenance plans based on real-time data.
One of their notable projects involves monitoring the lifetime of knives in chippers used for breaking down PVC materials and wood. This system analyses the current drawn by the chipper, the hydraulic pressure, and the material levels in the storage to determine the optimal time for knife replacement, thus avoiding
IT’S ABOUT GETTING THE RIGHT INFORMATION TO THE RIGHT PERSON AT THE RIGHT TIME.
— KURT DHAENE
Group
Reliability Manager, Unilin
unnecessary downtime and promoting sustainability.
The Role of Vibration Monitoring
Unilin has been collaborating with I-Care to implement remote vibration monitoring, a crucial element of their predictive maintenance strategy. “We already have several hundreds of vibration sensors installed in our plants,” says Mr. Dhaene. Initially, these sensors were used to
set fixed alarms for vibration levels. However, this approach proved inadequate for equipment with variable loads and speeds.
To address this, Unilin combined vibration data with other process data from PLCs to create context-aware detection algorithms. “We teamed up with Yazzoom, which provided an anomaly detection product. By combining data from I-Care’s
vibration sensors with process data, we trained models to detect anomalies more accurately,” Mr. Dhaene explains.
Monitoring Thermal Oil Pumps
Unilin chose to focus on thermal oil pumps for this project. These pumps are critical, and Unilin already had historical data from existing sensors. “We selected thermal oil pumps because they are relatively simple, and we had the necessary information about their components,” Mr. Dhaene notes. I-Care’s sensors vibration signals are converted into meaningful information, so called features, which Yazzoom’s system analyse to detect deviations from normal operating conditions.
This integrated approach has yielded promising results. “The system runs on 15 primary pumps, and sometimes it detects problems other or faster than our monitoring specialists. It’s very sensitive to different modes of operation,” says Mr. Dhaene. However, there are occasional detections that require further investigation by vibration specialists, which highlights the need for continuous model training and refinement.
Benefits and Challenges
This system yields clear benefits “It allows us to detect failures much earlier and
more accurately than before. This early detection enables timely preparations and prevents unexpected downtime,” Mr. Dhaene explains. For instance, redundant pumps can be activated swiftly, ensuring continuous operation.
However, the transition to predictive maintenance is not without challenges. Mr. Dhaene emphasized the importance of human expertise in interpreting data. “There’s an exponential increase in information available from equipment. The challenge is detecting meaningful signals and getting this information to the right person at the right time,” he says.
Collaboration with I-Care and Yazzoom
Unilin’s collaboration with I-Care has been instrumental in their success. “I-Care provides high-quality sensors and has the mechanical and IT knowledge to support us. This combination was crucial for us,” Mr. Dhaene notes. The ability to interpret vibration signals and connect them to IoT systems for anomaly detection was a key factor in choosing I-Care as a partner. Yazzoom was chosen as a partner because their product Yanomaly provides not only a number of generic models, but also detectors that align well with our types of equipment and are easy to scale.
Moreover, they were willing to work together to make this integration a success.
The Human Element
The transition to digital, data-driven maintenance relies heavily on human expertise. “Data specialists and system experts are essential. It’s about getting the right information to the right person at the right time,” Mr. Dhaene emphasized. Vibration analysts, for instance, need detailed information to make informed decisions, while operators and technicians require interpreted data translated into actionable insights.
In conclusion, Unilin’s journey towards predictive maintenance highlights the importance of integrating advanced technologies with human expertise to enhance reliability, safety, and sustainability. Their collaboration with I-Care and Yazzoom serves as a model for how companies can leverage data-driven tools to achieve significant operational improvements.
The insights gained from Unilin’s predictive maintenance projects are presented at the Asset Performance 2024 conference in Antwerp, Belgium, this November. Tom Rombouts from I-Care, David Verstraeten from Yazzoom and
Mathieu Vroman from Unilin explore the synergies between online vibration monitoring and anomaly detection in predicting equipment failure, focusing on enhancing asset management practices. They showcase how Unilin collaborated with Yazzoom and I-Care to monitor their fleet of thermal oil pumps. ￭
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ANOMALY DETECTION ON PREDICTIVE MAINTENANCE DATA IN A DYNAMIC PRODUCTION ENVIRONMENT
SCARCITY OF TECHNICAL LABOUR MARKET IS AN OPPORTUNITY TO INNOVATE MORE
Rob Gülickers, Technology director at Sitech: ‘Industry 5.0 is the next step in the industrial evolution, in which the synergy between man and machine is central. It builds on previous revolutions, such as Industry 4.0, where automation and digital technologies dominated. Industry 5.0 aims at a collaboration between human skills and advanced technologies. This allows us to increase productivity and improve efficiency.
A good example is the use of drones for inspections in factories. The drones detect anomalies and send them to us, after which we can plan targeted inspections. By analyzing all the data and linking it to Artificial Intelligence (AI), we create digital copies of factories and by doing so predictions for asset reporting. This approach improves maintenance and makes factories more sustainable.
By using machines for repetitive tasks, our engineers can concentrate on complex problems and specialist work. The employee of the future is not more, but smarter. And at Sitech, we also see new roles emerging as a result, such as drone pilots, OT/ Cyber security specialists and data analysts.
Sitech’s integrated services refer to a comprehensive and coordinated approach, whereby a customer’s organization collaborates extensively with our experts. By combining human skills with advanced technologies, we can produce more efficiently and sustainably, creating new opportunities for industry. Using smart sensors and drones, we can monitor factories remotely and save travel movements. Moreover, with advanced technologies such as digital twins, we can get a better insight into the condition of assets and plan maintenance better, preventing unnecessary waste. ￭
Maximize wrench time, minimize admin time with IFS Ultimo EAM.
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DON’T FOCUS ON WRENCH TIME TO JUSTIFY PLANNING & SCHEDULING ROI
Maintenance organizations often have similar motivations for reassessing their planning and scheduling processes. These include addressing a lack of visibility into resource availability, managing outof-control backlogs, or responding to management pressure to reduce maintenance budgets.
Currently, over 67% of business cases for planning and scheduling software focus primarily on improving wrench time through scheduling solutions and process reviews. It’s widely known that the average Hands on Tool Time (HOTT) for most companies ranges between 25% and 35%. However, companies employing best practices in planning and scheduling report wrench times of 60% and higher. What accounts for this significant difference?
These improvements invariably attract the attention of upper management and C-level executives, particularly in today’s economy, which emphasizes optimization and savings. Consider this example: For a workforce of 100 technicians, achieving a 35% improvement in wrench time can
result in potential annual savings of $2,275,000—based on an average cost of $65,000 per technician. These savings directly impact the company’s EBITDA, making HOTT improvements a compelling justification for investing in planning and scheduling solutions.
However, this focus on wrench time improvements is fundamentally flawed. Here’s why.
Imagine an average chemical site or any large industrial facility. If you ask the CEO about the company’s mission statement for the year, it often boils down to selling more products at lower costs while maintaining high quality. Nowhere will you hear about ensuring that craftspeople are continuously busy throughout their workday. The business isn’t about keeping employees occupied— it’s about optimizing productivity.
Visit www.sigga.com to see our Planning & Scheduling software and our Empower EAM solution to help improve your OEE. ￭
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THE BUSINESS ISN’T ABOUT KEEPING EMPLOYEES OCCUPIED— IT’S ABOUT OPTIMIZING PRODUCTIVITY.
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OUT OF THE BOX MOBILE MAINTENANCE SOLUTION WITH THE FREEDOM TO CREATE ANYTHING WITH A TRUE NO-CODE PLATFORM
IS INSTALLING A SENSOR FOR PREDICTIVE MAINTENANCE ALWAYS THE RIGHT ANSWER: HOW TO MAKE THE HYPE WORK?
The use of sensors in predictive maintenance is a hot topic in the discussion about asset performance. Although sensors are used widely today, their effectiveness is a subject of debate. One thing is certain: sensors are not the be all and end all. They only provide value when used in support of people (experts who know the machines) making informed and better decisions. Jonas Vancauwenberghe, an expert in the field, sets the tone.
Jonas Vancauwenberghe breathes asset performance. After a career as a maintenance technician and maintenance manager at Alpro, and his role being responsible for Industry 4.0 at ABB, he now supports companies from his position at REPM Dexis. He offers solutions aimed at optimising machine performance and addressing maintenance challenges.
Sensors and maintenance
Sensors have received a lot of attention because predictive maintenance is often touted as a way to reduce downtime, extend equipment life, and lower costs. However, the reality is often more complex. “Sensors offer value, but they are not the be all and end all,” explains Mr. Vancauwenberghe. “Their effectiveness depends on how well they are integrated into a broader maintenance plan, and how well we interpret the data they generate. Companies must first return to first principles when it comes to their maintenance needs, and then use strategic research to consider different strategies such as reactive maintenance, preventive maintenance, and condition-based maintenance.”
More than data capture Should companies opt for predictive or condition-based maintenance, the
HOW TO MAKE THE HYPE WORK?
Wednesday November 13 at 11:15
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interpretation of data is the most important consideration. “Sensors generate an abundance of data, but true success depends on how you use that data. Do you have the resources and knowledge to interpret the data? Prediction is impossible without insight into failure modes, operational knowledge and its reflection on machine components,” says Mr. Vancauwenberghe. ￭
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Many companies use their Enterprise Asset Management (EAM) system mainly as an electronic card index or a digital work order system, unaware of the possibilities it has for Asset Management. EAM Systems like Maximo, IFS Ultimo, HxGN EAM and SAP EAM have evolved tremendously. They now offer functionalities for Asset Investment Planning, Project Portfolio Management, Asset Performance Management, Business Intelligence and Predictive Maintenance. Major steps have also been taken in the field of Mobile, GIS and BIM integration.
Are you ready for Next Gen EAM? Our VDMXL experts can assist you with further professionalisation and automation of your Maintenance & Asset Management organisation.
BOOSTING BASKETBALL TEAM PERFORMANCE WITH DATA AND AI
ANN WAUTERS, FORMER WNBA ALL-STAR AND BELGIAN BASKETBALL ICON
In today’s fast-paced world of professional basketball, data and artificial intelligence (AI) have revolutionized the way teams optimize performance, make strategic decisions, and ensure long-term success. Ann Wauters, a former WNBA All-Star and a prominent figure in European basketball, brings a wealth of experience from both sides of the court—first as a player and now as a mentor to top teams. She has witnessed firsthand how data-driven insights are reshaping how teams train, strategize, and execute in high-stakes games.
In this keynote, Ann “dunks” into the profound impact of data and AI on team performance, offering examples of how top basketball teams utilize advanced analytics to fine-tune player efficiency, prevent injuries, and create winning strategies. By analyzing real-time data, teams can monitor player fatigue, optimize rotations, and predict opponents’ moves with precision—leading to smarter decisions both on and off the court.
However, while data and AI offer incredible tools to drive performance, Ann
emphasizes that the human element remains at the heart of it all. Behind every data point is a player, a coach, and a team working together. The real power lies not just in having the data but in understanding it—knowing how to apply these insights with empathy, intuition, and experience. Data can tell us when a player is fatigued, but it’s the human connection that recognizes when they need a break, both mentally and physically. Technology may assist in shaping strategies, but it’s the coaches, with their deep knowledge of the game and their players, who make
the ultimate calls that inspire confidence and drive team unity.
Just as basketball teams rely on data to improve every aspect of their game, industrial organizations can use data and AI to maximize asset performance and prevent failures. Yet in both domains, success comes from blending cutting-edge technology with human intuition and leadership. This keynote promises to provide valuable lessons on how the integration of data, AI, and the human touch can transform team performance, whether in basketball or industry. ￭
CONFERENCE EVENING
Wednesday November 13 18:00 RECEPTION 18:45 KEYNOTE PRESENTATION
Turn complexity into simplicity - with Schaeffler Lifetime Solutions
OPTIME C1 combines the advantages of our automatic lubricator C1 with award- winning OPTIME technology: With its intuitive app, it simplifies the maintenance of your machines and eliminates the need for time-consuming manual work.
Keep your machines rolling.
Achieve results together
Our integrated services refer to a comprehensive and coordinated approach, whereby a customer’s organization collaborates extensively with our experts. Activities are blended into a unified strategy with high-quality execution. By combining human skills with advanced technologies, we can produce more efficiently and sustainably, creating new opportunities for industry.
FEATURED CASES
Wednesday Nov 13, 10:10 - 10:45 in Gorilla 3
Applying generative AI for asset management
Olivier Ruttiens, Global asset reliability leader at Barry Callebaut Group, explores the transformative potential of Large Language Model AI (LLM AI) in addressing Maintenance, Repair, and Operations (MRO) challenges. Ruttiens highlights the versatility of LLM AI, particularly prompt-based models like ChatGPT, which offer out-of-the-box solutions for maintenance tasks accessible to all. He discusses several use-cases where LLM AI proves invaluable for asset management.
Wednesday Nov 13, 11:50 - 12:25 in Gorilla 4
The Digital Transformation Journey of AGC
During this presentation Tom Rombouts, European Engineering, Capex and Maintenance Manager at I-care Group, explores AGC Automotive’s digital transformation journey, focusing on the integration of data-driven maintenance as a strategic choice in response to the competitive nature of the glass manufacturing and automotive industries. Recognizing the need for lean and efficient engineering, maintenance, and reliability organizations, AGC embarked on a journey of digital transformation to optimize operations.
Wednesday Nov 13, 14:35 - 15:10 in Gorilla 1
Simulation toolbox to validate Energy Management System
Energy Management Systems (EMS) play a pivotal role in coordinating multiple assets to achieve global optimality, particularly in scenarios where various assets and usages need optimization under external constraints and conditions. ENGIE develops in-house solutions and integrates EMS solutions from the market. An emerging necessity within this framework is the replication of physical asset behavior in a simulated environment. In this presentation, Francois-Xavier Bouchez and Bertrand Haut from Laborelec elucidate the process of qualifying various levels of simulation, spanning from economic simulations to simulations based on physical principles.
Wednesday Nov 13, 11:15 - 11:50 in Gorilla 1
Continuous emission monitoring through IoT
In this presentation, Martijn Samaey, Digital Transformation Manager at Umicore PMR and Nelson Matthys, CEO at VersaSense, explain the initiatives undertaken by Umicore towards sustainable manufacturing. This segment focuses on the integration of IoT technology into emission monitoring processes. Detailed insights are provided into the technology used, including sensors and data analytics tools, and how they are applied to continuously monitor emissions in real-time.
Wednesday Nov 13, 14:00 - 14:35 in Gorilla 3
Anomaly Detection on Predictive Maintenance Data in a dynamic production environment
Tom Rombouts (I-Care), David Verstraeten (Yazzoom) and Mathieu Vroman (Unilin) explore the synergies between online vibration monitoring and anomaly detection with Yazzoom’s software Yanomaly in predicting equipment failure, with a focus on enhancing asset management practices. By integrating these tools, the speakers showcase how Unilin collaborated with Yazzoom and I-care to monitor their fleet of thermal oil pumps. They provide valuable lessons on achieving scalability while maintaining accuracy and efficiency in anomaly detection and predictive maintenance initiatives.
Wednesday Nov 13, 14:35 - 15:10 in Gorilla 3
Advancing Predictive Maintenance for Rotating Equipment
The presentation by Abdenour Jbili, CEO at OCP Maintenance Solutions, explains the JMCT project’s strategic approach to enhance predictive maintenance practices, with a focus on optimizing rotating equipment performance at OCP facilities. The JMCT project aims to establish a comprehensive predictive maintenance roadmap tailored to OCP’s operational needs. This roadmap integrates the assessment of existing procedures, critical equipment, and available data, ensuring a strategic approach to asset management.
FEATURED CASES
Wednesday Nov 13, 15:10 - 15:45 in Gorilla 3
Combining Route-based condition monitoring and IIoT
Oussama Lemma, CBM/PdM Lead at APM Terminals, explores an optimal approach to integrating route-based condition monitoring (CBM) using handheld instruments with IIoT-enabled sensors. This approach introduces a methodology aligned with the primary criteria of CBM techniques: being beneficial, feasible, and cost-effective. Oussama outlines a methodology that supports maintenance professionals in decision-making processes, guiding them in implementing a condition-monitoring program, selecting appropriate technology, and ensuring that the benefits of CBM outweigh its costs.
Wednesday Nov 13, 16:50 - 17:25 in Gorilla 4
Eliminating downtime and catching enfant mortality in a early state using LoRaWAN vibration sensors - Cases TotalEnergies Refinery Antwerp
The presentation explores the role of LoRaWAN vibration sensors in eliminating downtime and addressing early signs of equipment failure, commonly known as “enfant mortality,” which is when devices fail soon after installation. By utilizing LoRa vibration sensors, the presentation illustrates how early detection can mitigate failures in critical systems, resulting in fewer breakdowns and operational inefficiencies. Franky Oste discusses how LoRa technology, along with SolidRed software, streamlines the responsibilities of reliability engineers by offering real-time insights and predictive analytics. The case studies featured in this session provide a practical understanding of how these technologies can be implemented.
Thursday Nov 14, 14:00 - 14:35 in Gorilla 4
Smart Grid in wastewater treatment
Aquafin presents its innovative “Smart Grid” program, an IoT-based automation architecture with cloud-based algorithms aimed at addressing climate and water-related challenges securely and effectively. This architecture enables scalable solutions across multiple sites and assets throughout Flanders, with over 1000 sensors already deployed in various use cases. The scope of this program is outlined, focusing on its ability to collect and analyze data from sensor networks to optimize wastewater treatment processes. The development process of this program is explained, detailing the setup of a new IT/OT architecture to support its implementation.
Wednesday Nov 13, 16:15 - 16:50 in Gorilla 3
Optimization of Turnaround Maintenance using a 5G mobile private network
During this presentation Steven Werbrouck, Maintenance Manager at BASF Antwerp, and Peter Verheyden, Expert Connectivity at BASF Antwerp, delve into BASF Antwerp’s installation of a full private 5G mobile network on its expansive chemical site in 2023. By 2024, several value-adding and OpEx-reducing use cases have been deployed, with a focus on asset and maintenance management. The specific example of the efficiency enhancement of fire risk surveillance during maintenance turnarounds in the chemical industry is highlighted.
Wednesday Nov 13, 17:25 - 18:00 in Gorilla 3
Predictive maintenance of a Steam Dryer using a Machine Learning
Anders Jørgensen-Juul, Head of Projects at Nordic Sugar, explains the application of machine learning in enhancing maintenance practices, focusing on sustainability in industrial production. It addresses the prevalent issue of premature part replacements due to a lack of timely insights, advocating for efficient data collection and real-time analysis. Through a pilot project, machine learning is utilized to predict the remaining useful lifetime of components, showcasing its potential in optimizing maintenance planning and conserving spare parts. By accurately determining when parts require attention, this approach minimizes downtime and prevents premature replacements, aligning with the shift towards sustainable industrial practices.
Thursday Nov 14, 15:10 - 15:45 in Gorilla 1
Massive automated visual inspections in 3D: a whole new world
Benjamin Bex, Project Engineer LiDAR at Infrabel and Rein Lemmens, CEO at Kapernikov, present an exploration into the transformative capabilities of LiDAR technology in asset management, exemplified through the pioneering endeavors of Infrabel, ProRail, and the Brussels region. They explain how laser-scanned point clouds revolutionize infrastructure monitoring, offering unparalleled precision and efficiency in condition assessment. Attendees embark on a journey from raw LiDAR data to actionable insights, witnessing the future of railway maintenance and safety unfold.
CONFERENCE PROGRAMME*
NOVEMBER 13 TH 2024
09:00 SUSTAINABLE ASSET MANAGEMENT AS A KEY DRIVER IN REACHING THE EUROPEAN CLIMATE AND ENERGY TARGETS
Mark Haarman, Founder and Managing Partner at Mainnovation
The European climate and energy targets
The MORE4Sustainaibility Intereg NWE project
• The Sustainable Asset Management framework
• The potential total impact of Maintenance & Asset Management in reaching the European climate and energy targets
Best practices illustrated with several use cases
09:35 CREATE VALUE WITH ESG: TRANSFORMING INDUSTRIAL ASSET PERFORMANCE
Karine Vandenberghe, CEO at Avvision
• The transformative role of ESG principles in reshaping industrial asset management towards sustainability goals
• The ESG-Guide: Seven Steps to Sustainable Profitability provides a structured methodology for integrating ESG principles effectively into daily operations
How ESG initiatives can enhance worker safety, regulatory compliance, and lead to the development of sustainable products
Understanding ESG components, implementing tailored strategies, and leveraging ESG initiatives for innovation and competitive advantage
10:10 HOW CAN OPTIMIZED ASSET PERFORMANCE DRIVE SUSTAINABILITY?
Jackie Yun, Sustainability Tech Specialist at IBM
+ Nils Pålsson, Sustainability Tech Specialist at IBM
Overview of Sustainability Directives and its integration with human-interacting ESG reporting journey
Examination of sustainability imperatives and alignment of ESG directives in asset management
• Discussion on collaborative initiatives for sustainable impact and technology’s role in facilitating partnerships
• Guidance on best practices for transparent and accurate sustainability reporting
11:15 CASE CONTINUOUS EMISSION MONITORING THROUGH IOT - CASE UMICORE
Martijn Samaey, Manager Digitalisation at Umicore PMR
+ Nelson Matthys, CEO at VersaSense
IoT technology is used at Umicore PMR to monitor emissions of particulate matter, gases, VoC, and noise
• Umicore’s sustainability initiatives and the role of continuous emission monitoring in these efforts
• Practical use cases from the Umicore PMR site demonstrate the effectiveness of IoT-based monitoring systems
The integration of IoT for enhanced emission monitoring, real-time data analysis, and the promotion of sustainable manufacturing practices
11:50 EMBRACING CIRCULARITY AND MITIGATING EMISSIONS THROUGH LIFECYCLE MANAGEMENT
Oswald Deuchar, Global Head of Modernization Services at ABB Motion Services
• Lifecycle Management (LCM) extends the usable life of equipment, optimizing resource use and reducing waste
The contrasting of traditional “buy-use-discard” models with LCM’s sustainable practices
Practical strategies for upgrading, reconditioning, and modernizing assets, highlighting environmental and operational benefits
LCM aligns with circular economy principles, enhancing resource efficiency and minimizing waste through integration into maintenance routines
12:25 OVERCOMING COOLING CHALLENGES AND PREVENTING PRODUCTION AND EFFICIENCY LOSSES IN WARM SEASONS
Niels Bergsma, CEO at Hexwise
Root causes of cooling capacity chortages
The “Industry’s Blind Spot”
• Digital Twin Technology for air-cooled heat exchangers
• How Digital Twins mitigate seasonal cooling challenges
FOR OUR LATEST
* Conference programme on the moment of publication may be subject to change.
Gorilla 1
Gorilla
14:00 CASE REDUCING ENERGY CONSUMPTION WHILE ENHANCING ASSET PERFORMANCE, RELIABILITY AND DELIVERING INCREASED
PISTACHIO QUALITY - CASE IRECO
Xavier Simon, Plant Director at IRECO Trading & Production
+ Filip Popov, Digital Expert at Wizata
• Ireco utilizes AI to optimize pistachio roasting, resulting in significant energy savings and enhanced operational efficiency
• AI-driven techniques ensure consistent product quality despite variability in raw material conditions
Real-time data analytics improve decision-making and streamline operations across roasting and packaging lines
The implementation includes AI recommendations for optimizing roasting temperatures, network overhauls, and future expansions in maintenance and KPI tracking
14:35 CASE
SIMULATION TOOLBOX TO VALIDATE ENERGY MANAGEMENT SYSTEMS: APPLICATION TO SOME ENGIE USE CASES
Bertrand Haut, Senior Applied Mathematician and Data Scientist at ENGIE Laborelec
+ François-Xavier Bouchez, EMS program manager at ENGIE Laborelec
Energy Management Systems (EMS) are crucial for optimizing multiple assets and usages under external constraints
ENGIE explores in-house and market-integrated EMS solutions, necessitating simulated asset behavior for testing and validation
• The qualification process of simulation levels and proposes a unified framework for diverse business use cases
• Insights on simulating physical asset behavior, qualifying simulation levels, and leveraging unified frameworks for EMS applications
15:10 CASE ENERGICARE: AI FOR ENERGY SUSTAINABILITY IN THE PHARMACEUTICAL INDUSTRY - CASE GSK
Matthieu Decoux, Business Developer at Coceptio
• AI’s role in energy sustainability within pharmaceutical industry
• CoCEPTIO’s expertise in engineering and maintenance proves pivotal in optimizing industrial operations
Integration of AI technology enhances energy efficiency and regulatory compliance in pharmaceutical projects
Real-time modeling’s impact on energy consumption and performance preservation
16:15 COMBINING ELECTRICAL CONDITION WITH ENERGY MONITORING TO OPTIMISE ASSET EFFICIENCY - CASE PUMP EFFICIENCY AND GRID POWER QUALITY
Eric Delvaux, Account manager industry at Schaeffler Belgium
+ Richard Haagensen, Smart Energy Solutions Industrial LS at Schaeffler Finland Oy
A solution for sustainable energy consumption monitoring
The importance of energy efficiency for sustainability goals
• Easy energy monitoring techniques and their application on specific machines
• The multifaceted benefits of combining energy monitoring with vibration detection
16:50 MAXIMIZING YOUR ASSET ENERGY PERFORMANCE WITH SMART HEAT EXCHANGER
Leo Nilsson, Data Scientist at Alfa Laval
• Optimizing heat exchanger performance can save energy and reduce up to 2.5% of global CO2 emissions
• Alfa Laval Smart Heat Exchanger offers real-time monitoring and predictive maintenance for Gasket Plate Heat Exchangers
The system uses sensors and cloud-based algorithms to provide operational insights and enable informed decision-making
Case stories demonstrate successful implementation and benefits of the Smart Heat Exchanger in various scenarios
17:25 FULL RESTORATION OF STEAM AND GAS TURBINES EFFICIENCY BY REMOVING DEPOSITS FROM THEIR FLOW PATHS WITH DEEP CHEMICAL FOAM CLEANING
Wojciech Majka, President of The Board, CEO at Ecol Sp. z o.o.
• The impact of deposits on the efficiency and performance of steam and gas turbines
• The process and benefits of deep chemical foam cleaning for removing deposits
The cost-effectiveness and time efficiency of foam cleaning without turbine disassembly
The importance of innovative cleaning solutions in the evolving and competitive power generation industry
TRACK 1.2 : GENERATIVE AI & LLM IN OPERATIONS, MAINTENANCE & ASSET MANAGEMENT
09:35 GENAI IN MAINTENANCE: WHAT REALLY WORKS
Tuur Steffens, Associate Partner at McKinsey & Company
• Effective GenAI applications in maintenance reliability
Strategies for identifying impactful GenAI use cases
Creating and capturing value from GenAI implementations
• End-user engagement is crucial for successful GenAI adoption
3
Gorilla
10:10 CASE APPLYING GENERATIVE AI FOR ASSET MANAGEMENT - CASE BARRY CALLEBAUT GROUP
Olivier Ruttiens, Global asset reliability leader at Barry Callebaut Group
• LLM AI’s versatility for asset management in addressing MRO challenges
Use-cases include crafting multilingual procedures, standardizing spare parts data, and building global job plans
LLM AI’s adaptability extends to insightful data analysis and automated processing with scripting
Adoption of LLM AI reshapes traditional problem-solving approaches and staffing strategies in maintenance
11:15 GENAI IN MAINTENANCE AND QUALITY MANAGEMENT
Anthony Van Heymbeeck, Senior Consultant at PwC
+ Koen Van Kerckhoven, Senior Manager at PwC
• AI is transforming Quality and Maintenance by driving efficiency and excellence through innovative solutions
• Key insights from PwC EMEA AI survey reveal current trends and practices in industrial AI applications
Case studies demonstrate the benefits of AI in maintenance, predictive maintenance, quality optimization, and spare parts management
How AI and GenAI will continue to shape advancements in Quality and Maintenance
11:50 USING GENERATIVE AI TO ASSIST RCM AND THE CREATION OF MAINTENANCE PLANS & BOM’S
Jonathan Arys, Senior Maintenance Engineer at CoCEPTIO
Jonathan Arys addresses challenges in traditional maintenance plan and BOM creation methods
Manual processes lead to inconsistencies and demotivation among maintenance engineers
• Proposal involves automating maintenance planning and integrating AI support
• Key milestones include database establishment, semi-automatization, and Generative AI implementation
12:25 CASE GENERATIVE AI AND PREDICTIVE ANALYTICS TO
Ben Engels, Reliability Manager Europe at Nippon Gases
+ Nishanta Samal, Manager - AI Products & Services at SymphonyAI Industrial
• Nishanta and Ben explore advanced technologies for enhancing asset reliability
Predictive analytics enable proactive maintenance strategies and minimize downtime
Knowledge graphs organize data for better decision-making and operational efficiency
• Gen AI integration fosters collaborative ecosystems, redefining asset-human interaction
09:35 CASE THE JOURNEY TO MAINTENANCE BEST PRACTICE, CHANGING THE CULTURE - CASE PHARMARON BIOLOGICS
Andrew Evans, Head of Engineering at Pharmaron Biologics
+ Roy Davis, Director at MPI Limited and MCP Consulting Group
Transitioning to proactive maintenance practices
• Regulatory challenges in implementing maintenance change
• Importance of engaging engineering, operations, and quality departments
Measuring progress throughout the journey ensures accountability and success
10:10 WORLD CLASS MAINTENANCE 5.0, SYNERGY BETWEEN HUMAN EXPERTISE AND AI
Rudi Frederix, GM at AMOTE
The integration of human expertise and AI in asset management
Mechanisms for workforce adaptation to AI collaboration
• AI’s role in optimizing maintenance operations
• Collaborative potential between AI systems and human expertise for enhanced outcomes
11:15 IS INSTALLING A SENSOR FOR PREDICTIVE MAINTENANCE ALWAYS THE RIGHT ANSWER: HOW TO MAKE THE HYPE WORK?
Jonas Vancauwenberghe, Business Expert Asset Performance Management at REPM Dexis
• Complexities in implementing sensor solutions for predictive maintenance
• Assumptions about the sole reliance on sensor technology
Historical contexts are examined to understand past maintenance practices
Importance of a balanced approach considering both technological and human factors
11:50 CASE
THE DIGITAL TRANSFORMATION JOURNEY OF AGC: DIGITAL TRANSFORMATION IN MAINTENANCE & RELIABILITY AS A STRATEGIC CHOICE IN A FAST-CHANGING COMPANY
Gauthier Lecroart, Manufacturing strategy, maintenance & engineering manager at AGC Automotive Europe
+ Tom Rombouts, Reliability & Data Driven Solutions Director at I-care Group
AGC Automotive’s digital transformation journey
• Data-driven maintenance is adopted as a strategic choice for optimization
• Change management processes are navigated to guide the organization
Prerequisites to prepare for effective implementation
Gorilla 4
12:25 WHAT DOES DIGITAL TRANSFORMATION REALLY MEAN FOR MAINTENANCE & RELIABILITY?
Tor Idhammar, President & CEO at IDCON
The implications of digital transformation on maintenance teams
• Core maintenance objectives remain unchanged regardless of technological advancements
• Potential roadblocks and failure modes in implementing digital transformation
Practical insights into balancing new technologies with maintenance principles
14:00
ANOMALY DETECTION ON PREDICTIVE MAINTENANCE DATA IN A DYNAMIC PRODUCTION ENVIRONMENT - CASE UNILIN
David Verstraeten, Engineering manager at Yazzoom
+ Mathieu Vroman, Data Scientist at Unilin
+ Tom Rombouts, Reliability & Data Driven Solutions Director at I-care Group
The synergy between online vibration monitoring and anomaly detection
The necessity of combining vibration expertise with data science skills
• The importance of preparing organizations for technology adoption
• Strategies for scaling analytics platforms in dynamic production environments
14:35
ADVANCING PREDICTIVE MAINTENANCE FOR ROTATING EQUIPMENT - CASE OCP
Abdenour Jbili, CEO at OCP Maintenance solutions
• The JMCT project’s strategic approach to predictive maintenance
The project aims to optimize rotating equipment performance at OCP facilities
Key components include equipment selection, tailored solutions development, deployment, and comprehensive training
Integration into existing procedures, collaboration among diverse teams, and standardized implementation across facilities
15:10
COMBINING ROUTE-BASED CONDITION MONITORING AND IIOT - CASE APM TERMINALS
Oussama Lemma, CBM/PdM Lead at APM Terminals
An approach to combine route-based condition monitoring with IIoT sensors
The methodology focuses on fulfilling primary CBM criteria: being beneficial, feasible, and cost-effective
• ISO17359-based condition monitoring, criticality screening, and cost-effectiveness analysis
• Feasibility, cost-benefit balance, and effective utilization of IIoT sensors for proactive maintenance
16:15
OPTIMIZATION OF TURNAROUND MAINTENANCE USING A 5G MOBILE PRIVATE NETWORKCASE FIRE SURVEILLANCE AT BASF
Peter Verheyden, Maintenance Manager at BASF Antwerp
+ Steven Werbrouck, Expert Connectivity at BASF Antwerp
• BASF Antwerp’s deployment of a private 5G network
• Practical 5G maintenance use cases and their value
The correlation between use case reliability and infrastructure design
Deep dives into fire surveillance during maintenance turnaround as a case study
16:50 HOW EMBEDDED INTELLIGENCE CAN AUTOMATE YOUR MAINTENANCE PROCESSES?
Mohammed Merkachi, Corporate Head of Own Products at SOA People
Focus on how embedded intelligence and advanced algorithms automate maintenance processes
• Real-world examples and case studies illustrating transformative impacts on asset management
• Insights into implementing these solutions to streamline operations, reduce costs, and enhance efficiency
Addressing challenges like increasing maintenance costs, higher efficiency demands, difficulty in predicting failures, integrating new tech, ensuring data accuracy, and managing automation transitions
17:25 CASE PREDICTIVE MAINTENANCE OF A STEAM DRYER USING A MACHINE LEARNING - CASE NORDIC SUGAR
Anders Jørgensen-Juul, Head of Projects at Nordic Sugar A/S Nakskov
• Focus on predictive maintenance using machine learning
The case study involving a steam dryer at Nordic Sugar
The potential for improved maintenance planning
• The importance of sustainability and resource efficiency in industrial production
Gorilla 3
14:00 ACHIEVING LONG-TERM SUCCESS WITH RELIABILITY-CENTERED MAINTENANCE
Virve Viitanen, Global Head of Customer Care and Support at ABB Motion Services
• Insights from an ABB survey of 3215 industrial businesses on reliability and downtime impacts
Analysis of various maintenance strategies, highlighting the benefits of reliability-centered maintenance (RCM)
Case studies demonstrating successful implementation of outcome-based maintenance, including a Belgian sugar producer and a major renewable energy provider
Future outlook on maintenance strategies, emphasizing outcome-based agreements and practical recommendations for reliable operations
14:35 CASE RCM BASE DEVELOPMENT OF A DIAGNOSTIC STRATEGY FOR EQUIPMENT ASSESSMENT & MONITORING - CASE SUPER SMELTER
Anoop Saxena, Plant Asset Management at Super Smelter Limited
• Development of advanced diagnostic strategies for equipment assessment and monitoring using ReliabilityCentered Maintenance (RCM)
• Integration of continuous health monitoring and control with Industry 4.0 technologies, including AI and IIoT
Optimization of equipment upkeep activities through life assessment and strategic resource selection, including potential subcontracting
Use of reliability health index data to make informed decisions on running, repairing, or replacing equipment based on economic and safety considerations
15:10 HOW TO USE RCM & FMEA FOR EFFECTIVE SMART ASSET MONITORING & PREDICTIVE MAINTENANCE
Martin Van Den Hout, Senior Managing Consultant at Agidens
+ Ruben Broekx, Lead Data Scientist at Agidens
Leveraging RCM and FMEA methodologies for effective smart asset monitoring and predictive maintenance
• Implementing asset monitoring systems through thorough analysis, reliable sensors, intelligent platforms, and rigorous follow-up
• Identifying and monitoring critical parameters to align with business goals using real-life case studies
• Demonstrating data analysis platforms and discussing roles, responsibilities, and future trends in asset monitoring
16:15 HOW TO CREATE A ROBUST MODEL FOR PREDICTING FAILURES WITH LIMITED TRAINING DATA?
Pradeep Kundu, Assistant Professor at KU Leuven
• Impact of asset failure and degradation on productivity, quality, and costs in Industry 4.0-enabled smart manufacturing systems
• Challenges of developing ML-based models for health assessment due to limited training data, especially for unreported damages
Use of physics-based models to reduce data requirements, despite potential high modeling errors due to assumptions
Development of robust digital twin models to address data unavailability, high modeling uncertainty, and limitations of both ML and physics-based models
16:50
ELIMINATING DOWNTIME AND CATCHING INFANT MORTALITY IN AN EARLY STATE USING LORAWAN VIBRATION SENSORS - CASES TOTALENERGIES REFINERY ANTWERP
Franky Oste, Senior Reliability Engineer at TotalEnergies Refinery Antwerp
• Eliminating downtime by use of LoRa sensors
• Catching enfant Mortality in a early state using LoRa Vibration sensors
How software Solid Red software makes life of reliability engineer easier
17:25 DATA FUSION AND PHYSICS-SUPPORTED AI MODELS FOR EARLY DETECTION AND CONTEXTUALISATION OF UPCOMING FAILURES IN CRITICAL MACHINES
Yves Van Ingelgem, CEO at Zensor
• Focus on early detection and contextualization of potential failures in critical machines
• Emphasis on multi-aspect monitoring with diverse data sources and stringent requirements
Importance of hybrid models combining physics principles with AI algorithms for robust failure prediction
Real-life examples from heavy industry illustrate effectiveness of multi-aspect monitoring in issue detection and contextualization
11:15 HANDS-ON WORKSHOP WITH AN OUT OF THE BOX MOBILE MAINTENANCE SOLUTION WITH THE FREEDOM TO CREATE ANYTHING WITH A TRUE NO-CODE PLATFORM
Bruno Pinheiro, Presales Manager EMEA at Sigga Technologies
+ Val Hillebrand, Vice President Sales EMEA at Sigga Technologies
Join Val Hillebrand and Bruno Pinheiro for an engaging 1.5-hour workshop focused on EAM Empower’s capabilities. This interactive session showcases the mobile EAM solution and how easy it is to build and adjust your business processes.
The workshop starts with a brief introduction and overview, followed by hands-on activities where participants can create notifications and work orders, synchronize with SAP, and explore the app’s features and usability.
Participants brainstorm ideas and build them together using EAM Empower’s no-code configuration tools. The session concludes with a Q&A segment, where participants can ask questions and see live changes applied to the app.
14:00 TRANSFORM YOUR MAINTENANCE PROCESS, DISCOVER THE READY4 ASSET MANAGEMENT JOURNEY “FROM SIMPLY DOING DIGITAL TO BEING A DIGITAL ORGANIZATION”
Christoph Labedzki, SAP Solution Architect at SOA People
+ Mohammed Merkachi, Corporate Head of Own Products at SOA People
In the first part of this workshop, participants get access to Ready4AssetManagement and complete a maintenance checklist focusing on a Last-Minute Risk Analysis (LMRA) on a real data system.
This practical session lets you first-hand experience how the platform simplifies and enhances maintenance tasks and provides valuable & instant data-insights.
In the second part, we dive into data analysis using the KPI library within the platform. You learn how to interpret the recommendation made by R4AM based on collected data and utilize it to impact your maintenance process efficiently.
16:15 ENHANCED RELIABILITY, REDUCED DOWNTIME, AND EXTENDED LIFE-CYCLE FOR YOUR ASSETS WITH THE HELP OF NEW TECHNOLOGIES
Oswald Deuchar, Global Head of Modernization Services at ABB Motion Services
+ Stephan De Vries, Global Strategic Partnerships Manager at ABB
+ Virve Viitanen, Global Head of Customer Care and Support at ABB Motion Services
This workshop focuses on how ABB Motion Services leverages advanced technologies to enhance the reliability, reduce the downtime, and extend the life-cycle of industrial assets. The session delves into the innovative solutions offered by ABB Motion Services, which enable customers to make informed decisions by combining offline or digital data with expert knowledge. Through these solutions, customers gain access to accurate, real-time information regarding the performance and energy consumption of their equipment, facilitating better operational decisionmaking and cost management.
• The workshop highlights the unique advantage provided by ABB Motion Services, which integrates connectivity and data analytics with comprehensive service expertise. This integration allows for the collection and analysis of data from various assets, offering deeper insights into the status of equipment. Such insights are crucial for enhancing performance, improving energy efficiency, and fostering business development.
• Attendees are introduced to key services such as ABB Ability™ Digital Powertrain, which is designed to optimize asset performance through the use of advanced technologies like Electrical Signature Analysis. These technologies provide valuable insights that contribute to more efficient, safe, and reliable operations.
18:00
18:45 BOOSTING BASKETBALL TEAM PERFORMANCE WITH DATA AND AI
Ann Wauters, Icon of international women’s basketball
• Data and AI are transforming professional basketball, optimizing team performance, strategies, and injury prevention through advanced analytics.
• Ann Wauters, a former WNBA All-Star, emphasizes the balance between data-driven insights and the human element in decision-making and team dynamics.
• Teams use AI to monitor real-time data, predict opponents’ moves, and enhance player efficiency, while coaches apply their experience and intuition to make critical game decisions. Success in both basketball and industry lies in blending cutting-edge technology with human insight, intuition, and leadership.
19:45 WALKING DINNER
2024
09:00 SYNERGIZING PROCESS AND ASSET INTELLIGENCE: THE KEY TO ADVANCING YOUR ORGANIZATIONAL MATURITY
Bram Van Laeken, Senior Sales Consultant at IFS Ultimo + David Ariens, Manager Analytics For Industry at AVEVA Select
Organizational maturity is driven by integrating process and asset intelligence
• Models like the Data Journey Maturity Model and Maintenance Maturity Model help optimize operational data and maintenance
• Integrated technology ecosystems and enhanced data intelligence are central to this strategy
The approach accelerates digital transformation, boosting efficiency and long-term growth
09:35 CASE IMPORTANCE OF ASSET DATA - CASE AQUAFIN
Joris Dircx, Manager Asset Data at Aquafin
• Focus on the critical role of asset data in maintenance and asset organization
Strategies for establishing an effective asset data team and developing robust data processes
Importance of good data governance for ensuring data accuracy, integrity, and security
• Recognition of the need to tailor data handling processes for different asset types and external interactions
10:10
LEVERAGING DATA SYSTEMS AND MODELING FOR FAST DECISION MAKING IN MAINTENANCE
Kasper Barslund Hansen, Researcher at Technical University of Denmark
Focus on leveraging data systems and modeling for fast decision-making in maintenance operations
• Utilization of advanced data modeling for collection, cleaning, and classification of maintenance data
Optimization of inventory management through segmentation and analysis techniques
Strategies for improving process efficiency, automating work orders, and optimizing maintenance schedules
11:15 USE OF AN AI DECISION MACHINE, ERP DATA AND BIG DATA TECHNOLOGY TO DERIVE, IMPLEMENT, MONITOR AN CONTROL AN INTEGRATED PLANT MAINTENANCE STRATEGY
Markus Ahorner, CEO at Ahorner & Innovators
• Exploration of an AI decision machine utilizing ERP data and big data for maintenance strategy optimization
Emphasis on dynamic monitoring and control in maintenance decision-making processes
Considerations for balancing preventive, corrective, and predictive maintenance strategies
Insights into benefits and implementation considerations of AI decision machines for integrated plant maintenance strategies
11:50 BENEFITS OF THE OPEN STANDARD MQTT IN ENHANCING ASSET PERFORMANCE
Ravi Subramanyan, Director of Industry Solutions at HiveMQ
Exploration of APM’s importance in industrial contexts and its challenges
Adoption of MQTT to address data collection, interoperability, bandwidth, and security issues
• Discussion on the synergy between IoT, MQTT, and other technologies in optimizing APM
Consideration of factors beyond technology, including people and processes, for successful APM implementation
12:25 CASE CRITICAL AIR COMPRESSORS HEALTH ASSESSMENT BASED ON LARGE SCALE DATA SOURCES - CASE SAUDI ARAMCO
Majed Muallem, Reliability Engineer at Saudi Aramco
+ Nezar Baaqeel, Reliability Engineer at Saudi Aramco
Critical instrument air compressor overhauling at Saudi Aramco Gas Plant
• Urgency due to loperational need and costly rental of portable compressors
Utilization of advanced Asset Predictive Analytics solution for comprehensive assessment
09:00 AI WILL(NOT) REPLACE US ALL - HOW TO PREPARE YOUR COMPANY FOR THE AGE OF AI
Dimitri Graur, AI practice lead at Kapernikov
• AI in Business: Exploring practical AI integration into business strategies and its future impact
• AI Progress: Reviewing a decade of Computer Vision advances and the exciting uncertainty of new AI tech AI in Asset Management: Strategies for using AI to boost operational efficiency and sustainability with existing resources
Data Privacy vs. AI: Balancing the benefits of AI with data privacy and security concerns
Gorilla 1
TRACK 2.2 : HUMAN CENTRIC INNOVATION IN OPERATIONS & MAINTENANCE
Gorilla 3
09:35 CASE TECHNICAL EMPLOYEES OF THE FUTURE: HR SOLUTIONS TO TACKLE AGEING - CASE SITECH
Rob Gülickers, Director Technology & Innovation at Sitech
• HR solutions for tackling the ageing technical workforce
• Exploration of changes in the technical workforce and implications for Sitech
Developing structural solutions tailored to Sitech’s needs
10:10 AUTHENTIC INTELLIGENCE: A HUMAN-CENTRIC APPROACH TO AI THE POTENTIAL OF ARTIFICIAL INTELLIGENCE IN ORDER TO INCREASE AN ORGANISATION’S PERFORMANCE
Tom Rombouts, Reliability & Data Driven Solutions Director at I-care Group
• The potential of AI in enhancing organizational performance
• Advocating for a human-centric approach termed “Authentic Intelligence”
Strategies for integrating AI into maintenance and reliability operations
Establishing a solid work execution model and preparing organizations for AI integration
11:15 CASE TRANSFORMING ASSET PERFORMANCE: HUMANS AND AUTONOMOUS ROBOTS WORKING TOGETHER - CASE DSM-FIRMENICH
Patrik D’Allens, Head of Technical Services at dsm-firmenich
+ Purnendu Kushwaha, Senior GTM Manager at Anybotics
Integration of autonomous robots for industrial inspection and maintenance
Employee involvement crucial in fostering acceptance and collaboration during transition
• Tangible benefits include cost savings, improved data accuracy, and streamlined processes
• Framework provided for assessing ROI and intangible benefits of automation initiatives
11:50 SMART GLASSES FOR EFFICIENT ASSET OBSERVATION AND INSPECTION
Kirby De Jode, CEO at Iristick NV
• The transformative role of smart glasses in asset data management and quality inspections
• Smart glasses facilitate real-time access to documentation and sensor data, enhancing technician efficiency
Worker safety with integrated features and ATEX compliance for hazardous environments
Case study on Handtmann exemplifies practical applications and benefits of smart glasses in asset maintenance
12:25 AUGMENTED REALITY PLATFORM FOR PROCESS & MAINTENANCE OPERATOR TRAINING AND PLANT DESIGN COMMUNICATION
Koen Penneman, CEO at PipeXperts
• Augmented reality platform for operator training and plant design communication
VR training solutions enable safe simulation of hazardous scenarios, accelerating competency development
Seamless collaboration between industrial plants worldwide, fostering innovation in communication tools
• Data-centric approach, including VR-3D modeling, enhances asset data management and decision-making processes
09:00 SIX NEW ISO STANDARDS FOR ASSET MANAGEMENT
Boudewijn Neijens, CMO at Copperleaf
Overview of six new and revised ISO 55000 series standards for asset management
Key revisions in ISO 55001 to enhance applicability and robustness
Introduction of new standards for finance alignment (ISO 55010), public policy (ISO 55011), people management (ISO 55012), and data asset management (ISO 55013)
• Discussion on the collective enhancement of asset management practices through these standards
09:35 ASSET MANAGEMENT 5.0: COMBINING EXPERT KNOWLEDGE AND AI TO REACH BETTER DECISIONS
Boudewijn Neijens, CMO at Copperleaf
+ Michiel Ooms, Senior Solutions Consultant at Copperleaf
• Integration of AI in asset management to enhance capital planning decisions
Role of AI in optimizing asset intervention timing and bundling
Benefits of AI for improving data quality and cleansing
Use of AI for performance prediction and generative AI assistants in planning processes
TRACK 2.3
Gorilla 4
10:10 CASE
11:15
OPTIMIZING INDUSTRIAL PERFORMANCE: LEVERAGING AI AND DIGITAL TRANSFORMATION FOR RELIABILITY AND PROFITABILITY
Walter Wilmsen, Sales Executive at Emerson
Digital transformation and AI integration optimize reliability and operational capacity in industrial environments
Success with AI and machine learning depends on data quality and clear use case definition
• Many companies are committed to AI, but only a small percentage have fully launched deployments
• Integrated models and AI tools improve predictive maintenance, mitigate risks, and enhance profitability
OPTIMIZING ASSET PERFORMANCE: THE COLLABORATIVE ROLE OF OSAPIENS HUB AND CONMOTO IN ADDRESSING CSRD CHALLENGES IN ASSET-INTENSIVE INDUSTRIES
Dirk Müller, Partner at ConMoto
+ Katelijne van Renterghem, Sales Director at osapiens
Impact of CSRD on asset-intensive industries, focusing on compliance, sustainability, and maintenance practices
• Challenges like unplanned downtime and resource management are addressed through advanced maintenance solutions
• Strategic approaches to overcoming maintenance challenges through asset performance management, sustainability integration, and compliance with CSRD
• Case studies and strategic approaches showcase the benefits of integrating digital tools and sustainability into asset performance management
11:50 CASE IMPROVING HEALTH AND RELIABILITY INSIGHTS FOR YOUR MOST CRITICAL ASSETS - CASE WATER SECTOR
Jan-Willem Steur, Manager Business Development | Asset management SME - IBM Maximo at ZNAPZ
• Task by Flemish VMM for utility and water companies to enhance understanding of critical installations’ conditions using the NEN2767 standard
• Preliminary study conducted by water companies to map critical installations and assess their theoretical lifespans, installation dates, and replacement costs
• Use of the NEN2767 standard to quantify asset conditions and provide insights into expected lifespans, supporting informed investment planning
Practical advice on starting small, scaling quickly, and integrating essential asset data for accurate health assessments
12:25 CASE THE USE OF VIBRATION SENSING FOR A RAIL CONDITION ASSESSMENT - CASE SOUTH AFRICAN RAILWAY
Motlalepule Machitje, Jnr Mechanical engineer at Transnet Freight Rail
• Effectiveness of vibration sensors in continuously monitoring railway track conditions and detecting faults
Integration of maintenance strategies during the acquisition and utilization of vibration sensors
Methodology for processing and analyzing data from vibration sensors to assess track conditions
Use of analyzed data to make informed decisions for maintenance scheduling
14:00 CASE SMART GRID IN WASTEWATER TREATMENT - CASE AQUAFIN
Bart Van Eygen, Asset Management Director at Aquafin
Introduction to Aquafin and its role in wastewater treatment
• Rationale behind developing the Smart Grid program to address environmental challenges
• Scope of the program in collecting and analyzing data for optimized wastewater treatment
Practical use cases demonstrating the benefits of the Smart Grid program in operational efficiency and environmental monitoring
14:35 HOW FIT ARE YOUR STEEL STRUCTURES? (CRANES, CRANE GIRDERS, MOVING GATES,..)
Jeroen Van Wittenberghe, Sr. Expert Fatigue & Structural Health Monitoring at OCAS + Marc Vanderschueren, Head of Development R&D Partnerships at OCAS
Challenges of daily wear on industrial steel structures like cranes and runway girders
Importance of close monitoring using digital tools for assessing structural health
• Methods for evaluating loading capacity and detecting cracks in steel structures
• Insights into automated crack inspection and remediation strategies for ensuring structural integrity
15:10 SUSTAINABILITY IMPACT OF DATA-DRIVEN ASSET MANAGEMENT ON CIVIL INFRASTRUCTURE
Theodoor Van Der Klaauw, Managing Consultant Asset Management & Sustainability at IBM
• Exploration of literature insights on sustainable asset management
• Definition of sustainable bridges and transport systems by Dutch Ministry of Infrastructure
Examination of predictive maintenance’s contribution to safe, affordable, and sustainable infrastructure
Identification of focus areas for improving sustainable asset management capabilities
14:00 RESEARCH
UNLOCKING THE METAVERSE: PIONEERING DIGITAL TWINS IN INDUSTRY
Diego Galar, Professor / R&D Director at Lulea University of Technology / SISTEPLANT
Introduction to dynamic digital twins and their role in asset management
Exploration of challenges faced by asset owners and potential solutions
• Explanation of the metaverse concept and its integration with digital twins
Insights into successful case studies and future trends in digital twins and the metaverse for asset management
14:35 PHOTOGRAMMETRY AND PIXEL & FEATURE MATCHING FOR READING AND MAINTAINING DIGITAL TWINS
Adrian Merkel, CEO at Framence
• Introduction of an innovative approach to digital twin creation using photogrammetry
Advantages of cost-effectiveness and efficiency compared to traditional methods
Maintenance of digital twin data integrity during standard processes
• Integration of AI for predictive maintenance and diverse applications in digital twin technology
15:10 CASE
MASSIVE AUTOMATED VISUAL INSPECTIONS IN 3D: A WHOLE NEW WORLD - CASE INFRABEL
Benjamin Bex, Project engineer LiDAR at Infrabel + Rein Lemmens, CEO at Kapernikov
• Exploration of LiDAR technology and its role in asset management
• Showcase of applications and automation possibilities with LiDAR data
Discussion on managing big data challenges and infrastructure needs
Insights from real-world use cases and key learnings for implementation
14:00 SMART SERVICES - HOW DIGITALIZATION TRANSFORMS OUR
Patrick Houbraken, Service Program Manager at Marel
• The machine builder’s philosophy and customer support role. The transformation into a comprehensive service portfolio. Addressing challenges faced by asset owners and user needs in the food industry.
14:35 CASE IMPROVING SPARE PARTS AVAILABILITY - CASE BELGOPROCESS
Jurgen Gommers, Maintenance Manager at Belgoprocess
+ Jürgen Donders, Partner at Gordian Logistic Experts
Introduction to spare parts availability optimization at Belgoprocess
• Explanation of data analysis methods and outcomes
• Insights into challenges and experiences during analysis and implementation Illustration of tangible results and benefits in practice
15:10 ADDITIVE MANUFACTURING & ASSET PERFORMANCE
Erik Van Der Garde, CEO at Oceanz
Impact of additive manufacturing on asset management, including warehousing, cost performance, and reliability
Integration of a digital library for spare parts selection with production and in-line quality control
• Contributions of additive manufacturing to sustainable asset management by reducing material waste and CO2 emissions
• Relationship between additive manufacturing, asset management, and Industry 5.0
11:15
Tom Rombouts, Reliability & Data Driven Solutions Director at I-care Group
+ Tom Dierick, Reliability Engineer at I-care Group
+ Vincent Leprince, 4.0 Engineer at I-care Group
• During this workshop, the participants explore CMMS data using I-care’s I-Mining tool. This AI tool analyses CMMS data, using NLP (Natural Language Processing), to help you in identifying bad actors in your technical installation, as well as indicate what are the most relevant learnings from all interventions performed on these bad actors.
• This workshop allows you to analyse 100.000 or more historic work orders at once!
A cloud environment is put at your disposal, where you can explore your own data in a secure way, or explore the tool with a I-care dataset!
The participants need to provide the CMMS export 2 weeks in advance in order to have time to prepare the data into the cloud environment.
The participants receive a list of data fields that need to be made available, and receive a NDA that assures the safe handling of their shared dataset.
TRACK 2.5
Gorilla 3
09:00 CONDITION MONITORING SERVICES THROUGH ELECTRICAL SIGNATURE ANALYSIS (ESA) TECHNOLOGY BY ABB & SAMOTICS
Stephan De Vries, Global Strategic Partnerships Manager at ABB
09:15 OPTIMIZATION OF ONLINE MONITORING AT ICARE WITH CCMA METHOD AND THE NEW G23 SENSOR
Peter Hendriks, Business Development Manager at I-care
09:30 MAINTENANCE OPTIMIZATION AND MOBILE ENABLEMENT THROUGH TRUE NO-CODE AND BOTS
Val Hillebrand, Vice President of Sales EMEA at Sigga Technologies
09:45 AI FOR EVERYONE
Bram Van Laeken, Sales Consultant at IFS Ultimo
10:00 NEW MEASURING MODES FOR OPTIME SENSORS
Eric Delvaux, Account Manager - Industry BE at Schaeffler
10:15 VIRTUAL PLANTS, REAL OUTCOMES: CREATING DIGITAL TWINS IN THE METAVERSE FOR OPERATIONAL EFFICIENCY AND ACCELERATED ROI
Esma Gulten, CEO & Co-Founder at Gizil
10:30 GENERATIVE AI AND PREDICTIVE ANALYTICS TO IMPROVE ASSET RELIABILITY
Nishanta Samal, Manager Services at SymphonyAI
11:15 WIRELESS SENSOR SYSTEM FOR MONITORING OF FATIGUE CRACK IN STEEL STRUCTURES
Olivier Baas, CEO & Founder at Villari
11:30 A NEW GENERATION OF DUAL-PURPOSE WIRELESS SENSORS TO OPTIMIZE MACHINERY VIBRATION DIAGNOSIS
Christian FRENEAT, International Sales & Business Development | Reliability Division at Acoem
11:45 ON-GUARD – AUTOMATIC CONDITION BASED GREASING
Haris Trobradovic, Area Sales & Training Manager at SDT Ultrasound Solutions
12:00 PREDICTIVE MAINTENANCE FOR DRIVETRAIN APPLICATIONS
Jitse Cammaert, Service Sales Engineer Digitalisation and Motion Control at Siemens
12:15 OPTIMIZED AND STREAMLINED ASSET MANAGEMENT WITH THE SUIVO ASSET MANAGER APP
Willem Naudts, Chief Product Officer at Suivo
12:30 VERSASENSE “EDGE VIEWER”, INDUSTRY’S FIRST INDUSTRIAL GRADE VERSATILE SMART-SENSING DEVICE THAT ENABLES AI DRIVEN PLUG&PLAY INSIGHTS, STRAIGHT FROM YOUR INDUSTRIAL ASSETS
Nelson Matthys, CEO at VersaSense
12:45 HOW SYNTHETIC DATA HELPED IN FASTER AND MORE ACCURATE DEPLOYMENT OF A VISION AI ALGORITHM FOR QUALITY INSPECTION
Jochen Van Lysebettens, Head of Business Development at Vintecc
14:00 THE ADDED VALUE OF AMPROVER’S RAMS MODULE
Nico Groen, Director at Traduco, a Mainnovation company
14:15 BOOST YOUR OPERATIONAL EFFICIENCY WITH ESA
Nick Vervack, Sales Manager at Insens
14:30 MASTERING CONTENT SPRAWL: HOW CABINETMANAGER TACKLES THE AS-BUILT DOCUMENTATION CHALLENGE
Dylan Caufrier, Founder and CEO at LightStream
14:45 UNLOCKING THE FUTURE OF SMART MAINTENANCE: MAXIMIZE ASSET PERFORMANCE & MINIMIZE DOWNTIME WITH OSAPIENS HUB
Katelijne van Renterghem, Sales Director and expert in Asset Management at osapiens
15:00 POWERING THE FUTURE: UNLOCKING ASSET POTENTIAL WITH NEXT-GEN APM
Herald Mulder, Software Tools & Applications Sales Expert at Hitachi Energy
15:15 UNLOCKING A COMPETITIVE ADVANTAGE WITH A PREDICTIVE MAINTENANCE SOLUTION
Matt Kirchner, Chief Product Officer, APM at Prometheus Group
15:30 TURNING SPARE PARTS AND FIELD INVENTORY COMPLEXITIES INTO STRATEGIC ADVANTAGES FOR SUCCESS
Vishal Punamiya, CEO at Ventory
FOR OUR LATEST PROGRAMME DOWNLOAD THE MOBILE APP:
WORKSHOPS
WEDNESDAY NOVEMBER 13, 11:15 - 13:00
Room Nightingale A
HANDS-ON WORKSHOP WITH AN OUT OF THE BOX MOBILE MAINTENANCE SOLUTION WITH THE FREEDOM TO CREATE ANYTHING WITH A TRUE NO-CODE PLATFORM
Join Val Hillebrand and Bruno Pinheiro for an engaging 1.5-hour workshop focused on EAM Empower’s capabilities. This interactive session will showcase our mobile EAM solution and how easy it is to build and adjust your business processes. The workshop will start with a brief introduction and overview, followed by hands-on activities where participants can create notifications and work orders, synchronize with SAP, and explore the app’s features and usability. Participants will brainstorm ideas and will build them together using EAM Empower’s no-code configuration tools. The session will conclude with a Q&A segment, where participants can ask questions and see live changes applied to the app.
WEDNESDAY NOVEMBER 13, 16:15 - 18:00
Room Nightingale A
ENHANCED RELIABILITY, REDUCED DOWNTIME AND EXTENDED LIFE-CYCLE FOR YOUR ASSETS WITH THE HELP OF NEW TECHNOLOGIES
In an era where operational efficiency and asset longevity are paramount, ABB Motion Services introduces innovative solutions that empower organizations to make informed decisions. By leveraging both offline and digital data, combined with unparalleled expert knowledge, ABB facilitates a proactive approach to asset management. Central to these solutions is the provision of accurate, real-time information concerning equipment performance and energy consumption. Such insights enable businesses to optimize operational decisions and manage costs more effectively. The unique advantage offered by ABB Motion Services lies in its fusion of connectivity and data analytics with seasoned service expertise. This combination ensures that the data harvested from assets is not only accessible but also meticulously analyzed, yielding profound insights into equipment status. These insights pave the way for enhanced performance, improved energy efficiency, and strategic business development. Attendees of this workshop will gain a comprehensive understanding of services like the ABB Ability™ Digital Powertrain. Additionally, they will be introduced to cutting-edge technologies such as Electrical Signature Analysis, which play a pivotal role in facilitating efficient, safe, and reliable operations.
WEDNESDAY NOVEMBER 13, 14:00 - 15:45
Room Nightingale B
TRANSFORM YOUR MAINTENANCE PROCESS, DISCOVER OUR READY4 ASSET MANAGEMENT JOURNEY “FROM SIMPLY DOING DIGITAL TO BEING A DIGITAL ORGANIZATION”
The workshop provides hands-on experience with the R4AM platform, addressing checklist functionality in a disruptive and innovative way, particularly the LMRA process. Participants discover how to analyze maintenance data through the KPI dashboard, gaining insights that can enhance their maintenance strategy in real-time. In the first part of this workshop, participants get access to Ready4AssetManagement and complete a maintenance checklist focusing on a Last-Minute Risk Analysis (LMRA) on a real data system. This practical session lets you first-hand experience how our platform simplifies and enhances maintenance tasks and provides valuable & instant data-insights. In the second part, we dive into data analysis using our KPI library within our platform. You learn how to interpret the recommendation made by R4AM based on collected data and utilize it to impact your maintenance process efficiently.
THURSDAY NOVEMBER 14, 11:15 - 13:00
Room Nightingale A
DISCOVER THE VALUE OF YOUR CMMS DATA
During this workshop, the participants will explore CMMS data using I-care’s I-Mining tool. This AI tool will analyse CMMS data, using NLP (Natural Language Processing), to help you in identifying bad actors in your technical installation, as well as indicate what are the most relevant learnings from all interventions performed on these bad actors. This workshop will allow you to analyse 100.000 or more historic work orders at once! A cloud environment will be put at your disposal, where you can explore your own data in a secure way, or explore the tool with a I-care dataset! The participants need to provide the CMMS export 2 weeks in advance in order to have time to prepare the data into the cloud environment. The participants will receive a list of data fields that need to be made available, and will receive a NDA that assures the safe handling of their shared dataset.
THEY TRUST US
SPONSORS & FLOORPLAN
A1 SIGGA TECHNOLOGIES
A2 ABB
EMERSON
HITACHI ENERGY
A3 I-CARE
A4 SOA PEOPLE
B1 OSAPIENS
B2 PDM
B3 MAINNOVATION
B4 SCHAEFFLER
B5 IFS ULTIMO
B6 SITECH
B7 EQUANS
B8 REPM DEXIS
C1 SYMPHONY AI
C2 VILLARI
CONFERENCE VENUE ENTRANCE
CONFERENCE ROOMS ON 1 ST AND 2 ND FLOOR
C5 PROMETHEUS GROUP
C6 CABINETMANAGER BY LIGHTSTREAM
C7 INSENS
C8 GIZIL
D1 VERSASENSE
D2 COCEPTIO
D3 VINTECC
D4 SDT ULTRASOUND SOLUTIONS
D5 HYTORC
D6 SUIVO
D7 SIEMENS
D8 ACOEM
NETWORKING HALL
ENTRANCE 2
FIND OUT MORE ABOUT OUR SPONSORS:
UNLEASHING THE POWER OF DIGITALIZATION IN ASSET MANAGEMENT
LESSONS LEARNED AT AQUAFIN
The excitement is palpable among industry professionals eager to delve into the latest advancements in asset management. One of the key highlights of this year’s conference is the presentation by Bart Van Eygen, Director of Asset Management at Aquafin. Van Eygen’s innovative work in utilizing digital solutions to address contemporary challenges in wastewater management promises to offer valuable insights and inspiration for attendees.
Aquafin, a company dedicated to the transport and treatment of wastewater for over six million people in Flanders, is at the forefront of creating sustainable environmental solutions. “Our mission is to improve the quality of the rivers, and we take a wider view than wastewater alone. We are also looking at how we can play a role in creating a living environment in harmony with water, next to our traditional core business, managing and treating waste water.” Van Eygen explains. This holistic approach to environmental management
underpins Aquafin’s commitment to long-term sustainability and resilience.
At the core of Van Eygen’s presentation will be Aquafin’s pioneering smart grid program, a comprehensive initiative designed to enhance the efficiency and resilience of its infrastructure amidst the growing pressure of climate change. “Climate change is putting more and more stress on our infrastructure, with increasing floods and periods of droughts. Since the capacity of our infrastructure and budget is limited, we need to make
a more efficient use of the existing infrastructure. One way to achieve this is by integrating IoT technologies into our network,” Van Eygen elaborates.
One of the compelling use cases that Van Eygen will discuss, is the innovative application of sensors in Aquafin’s storage basins. Originally built to store rainwater and prevent flooding during heavy rainfalls, such basins can now be utilized more efficiently thanks to digitalization. By measuring the volume of water in the basin and combining this data with
rainfall predictions, Aquafin can optimize the use of the stored water. “ Instead of emptying the basin immediately after the rainfall in order to be ready for the next rain to come, we can keep the basin filled and use the water for irrigation. Only when we know rainfall is expected, we start emptying the basin. Thus you make double use out of the same infrastructure: prevent flooding in wet conditions and provide irrigation water in dry conditions,” Van Eygen highlights. This approach not only maximizes resource utilization but also contributes to greater environmental sustainability.
Implementing the smart grid program required a comprehensive digital architecture, integrating both edge and cloud components, and ensuring scalability to manage Aquafin’s extensive network. “We have over 300 wastewater treatment plants, more than 2.000 pumping stations, and 7.000 kilometers of sewage mains. Scalability is very important for us,” Van Eygen notes. This extensive infrastructure necessitated a robust and flexible digital solution capable of handling large volumes of data and facilitating real-time decision-making.
Throughout the implementation process, Aquafin has deployed over a thousand sensors across its network to facilitate real-time data collection and smart automation. This has not only enhanced operational efficiency but also paved the way for future AI applications. Van Eygen emphasizes the importance of data security and collaboration: “We try to make the data we get available for other parties for external use because
WE MAKE DOUBLE USE OUT OF THE SAME INFRASTRUCTURE
— BART VAN EYGEN Asset Management Director, Aquafin
we believe that data may be useful for applications we haven’t even thought of, but others might find useful.” This open approach to data sharing underscores Aquafin’s commitment to innovation and collaborative problem-solving.
Reflecting on the journey of Aquafin’s digitalization program, Van Eygen shares key learnings and takeaways. One crucial lesson is the necessity of value-driven projects. “Digital applications have to be value-driven. You must have a direct line to the business to dictate what cases will be implemented and what their value will be,” he asserts. This focus on value ensures that the program remains aligned with the organization’s goals of making infrastructure more resilient to climate change, more efficient, and more sustainable.
In addition to discussing the technical aspects of the smart grid program, Van Eygen will also address the broader implications of digital transformation in asset management. He will explore how digitalization can drive operational excellence, support climate resiliance and contribute to a better surface water quality. Van Eygen’s presentation at the Asset Performance 2024 conference promises to be a rich source of knowledge and inspiration for anyone involved in asset management and digital transformation. His insights into Aquafin’s journey and the practical applications of digital solutions in enhancing infrastructure efficiency are not to be missed. Attendees can expect to gain a deeper understanding of how digitalization can revolutionize asset management, enabling organizations to meet contemporary challenges and seize future opportunities.
Moreover, Van Eygen will share practical advice on overcoming the challenges associated with digital transformation. From managing the complexities of data integration to ensuring cybersecurity, his insights will provide valuable guidance for organizations embarking on their own digital journeys. “We started off three years ago with a big digitalization program within Aquafin, which
also contains a data platform.
Van Eygen’s commitment to continuous improvement and innovation is evident in Aquafin’s proactive approach to digitalization. By leveraging cutting-edge technologies and fostering a culture of collaboration, Aquafin is setting a benchmark for sustainable and resilient infrastructure management. ￭
TURN COMPLEXITY INTO SIMPLICITY
Condition monitoring of all critical powertrain components is a challenge for all industrial sectors. Maintenance engineers need scalable and holistic monitoring solutions that provide detailed insights into the condition of both mechanical parts, as well as the electrical components in rotating machines.
Schaeffler offers solutions with functions based on electrical signal diagnosis, therefore offering maintenance information on the basis of electrical signal analysis, providing additional security against potential failures of electrical components. Operators have the advantage of covering both mechanical and electrical issues with a holistic predictive maintenance system. This is a significant step towards the more sustainable operation of machines.
Energy monitoring makes it possible to optimize overall energy consumption and provides information to find the optimum operating points of the machines in the most energy intensive industries for example in cement, steel, pulp and paper and
POWER-ADAPT - (Energy Monitoring solution)
• Monitors power consumption and power quality from the plant level upwards
• Calculates product-related energy shares
• Compares different systems
• Environmentally friendly: measures gains from energy savings - Increases energy efficiency
JOIN THIS SESSION
SMART GRID IN WASTEWATER TREATMENT
Thursday November 14, 2024 at 14:00
Gorilla 4
Read online:
JOIN THIS SESSION
COMBINING ELECTRICAL CONDITION WITH ENERGY MONITORING TO OPTIMIZE ASSET EFFICIENCY - CASE PUMP EFFICIENCY AND GRID POWER QUALITY
Wednesday November 13, 2024 at 16:15
Gorilla 1
many more. Schaeffler’s POWER-ADAPT leverages real-time adaptive control and optimization and offers engineers a comprehensive solution to the challenges of energy efficiency and environmental sustainability in industrial settings. ￭
osapiens, Europe‘s leader in intelligent and sustainable processes, develops software that automates manual tasks, increasing transparency and efficiency.
At its core is the osapiens HUB, a cloud platform using AI to drive transparency and sustainable growth across the value chain. Founded in 2018, Osapiens serves over 1300 customers globally, with 300+ employees across offices in Mannheim, Berlin, Cologne, Munich, Madrid, Paris, Amsterdam, London, and Maine (USA).
OSAPIENS HUB FOR MAINTENANCE
The intuitive solution for your maintenance
Intelligent maintenance planning and automation with the osapiens HUB.
Maintenance planner
• Orders & Tickets
• Machines & Equipment
• Capacity Planning & Scheduling
• Mobile Execution & Documentation
• Inventory & Spare Parts
• Workflows & Automation
• Analytics & Reports
Your Benefits
• Maximize the productivity of your machines and reduce downtime
• Simplify inventory and spare parts processes
• Easily digitize audits, checklists, and inspection processes
• KPI tracking and easy integration with your IT systems
Our Solution
Mobile App for Technicians
• Complete overview of all assets and equipment with maintenance history
• Access to intelligent deployment plans and maintenance orders
• Mobile guidance, execution, and audit-proof documentation
• Input of fault reports, tickets, and follow-up orders
• Picking for equipment, spare parts, and operating materials
• Automated workflows, actions, and analyses
• Online & Offline access
Capacity and Resource Planning
• Gantt and map view
• Create and manage shift planning and utilization reports
• Easily map qualifications, skills, and complex organizational structures
• Manual, assisted, and automatic task planning
• Time tracking and reporting for precise evaluations
The ESG platform to make an impact
Change Management for High Performance
Industrial optimization often hinges on material and cultural change. At PDM, we understand that successful adaptation across the entire organization is key to any optimization project’s success.
By understanding and taking the needs of our customers and their staff as our starting point, we prevent cultural lag and progress traps. Our tailor-made approach ensures change acceptance at every level, so your organization embraces change before it becomes a necessity.
PDM has been a leader in change management since 1971.
OPTIMIZING MAINTENANCE
A STRATEGIC APPROACH FOR INDUSTRY PROFESSIONALS
In today’s fast-paced industrial environment, industries such as energy, manufacturing, and food production face the ongoing challenge of maintaining efficiency while managing costs.
Predictive maintenance, supported by a structured, data-driven approach, offers a powerful solution to enhance the reliability and lifespan of assets, leading to improved operational performance.
The four-step framework; analyzemanage - connect - collect
Implementing predictive maintenance effectively requires following a systematic process, which can be broken down into four key steps:
1. Analyze: Start by deeply analyzing your data. Understanding patterns and trends within your asset data allows you to anticipate potential issues before they arise. This proactive approach helps optimize your maintenance schedule, reduce unplanned downtime, and extend the lifespan of your assets.
2. Manage: By leveraging Augmented Intelligence—combining AI with human expertise—you can prioritize maintenance tasks and make informed decisions. Effective management ensures that the insights gained from analysis are actionable, directly contributing to the performance and reliability of your assets.
3. Connect: Integration is crucial to maximizing the value of your data. Connect various data sources, such as your CMMS, ERP systems, and monitoring tools, to create a unified and accurate view of your assets. This connected approach ensures that all relevant information is available when making maintenance decisions, fostering consistency and accuracy in your operations.
4. Collect: The foundation of any successful maintenance strategy is accurate data collection. Ensuring that you have the right sensors, documentation, and operational logs in place to gather comprehensive data on your assets is essential. The data collected serves as the basis for all subsequent analysis and decision-making.
Strategic implementation: where to start?
When applying the AMCC framework, it’s essential to begin with your most critical assets—those that are indispensable to your operation’s success and where failure would have the most significant impact. By prioritizing these systems, you ensure that your maintenance strategy delivers immediate, substantial value by preventing costly failures and minimizing the risk of operational disruptions. This focused approach not only secures the performance of your most essential assets but also ensures tangible improvements that justify the investment in predictive maintenance.
Conclusion: elevating maintenance to boost performance
Maintenance is more than a necessary expense; it’s a strategic investment that can drive continuous improvement and enhance overall performance. By following the AMCC approach—analyzing, managing, connecting, and collecting data—you can shift maintenance from a reactive task to a proactive strategy that not only extends asset lifespan but also increases operational performance.
This approach empowers industry professionals to protect and enhance the performance of their most critical assets, ultimately leading to more reliable, efficient, and high-performing industrial processes.￭
Visit Icare at A3
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REDUCING COSTS THROUGH ENHANCED RELIABILITY
Virve Viitanen, Head of Customer Care and Support, ABB Motion Services, explores strategies for businesses in the energy sector to improve the reliability of their equipment. Implementing effective measures can reduce operational costs and manage the risks linked to unexpected equipment failures and downtime.
Unplanned downtime regularly results in high costs for industrial businesses. That’s according to an ABB survey of 3,215 plant maintenance leaders across various sectors, including energy, metals, utilities, food and beverage, and chemicals. In the energy and power generation sector alone, an hour of unexpected downtime can cost nearly USD180,000 and 69 percent of industrial businesses experiencing these shutdowns at least monthly.
Reliable equipment delivers clear advantages in reducing unplanned downtime, maximizing operational uptime, improving performance, and ensuring continuous equipment availability. However, despite the well-recognised benefits of reliability, current maintenance practices often fall short.
The benefits of predictive maintenance: maximizing uptime and efficiency
Downtime’s potentially damaging effects range from lost production and wasted materials to reputational harm and a loss of competitiveness. Despite these wellknown risks, many businesses still rely on reactive “run-to-fail” maintenance strategies, where equipment is allowed to run to failure before it is fixed, or timebased/preventive maintenance strategies, where businesses perform maintenance to equipment routinely after a set time.
Our research indicates that 21 percent of businesses surveyed use reactive maintenance strategies, with 80 percent of them experiencing unplanned downtime monthly, higher than the average 69 percent.
“RELIABLE EQUIPMENT DELIVERS CLEAR
ADVANTAGES IN REDUCING UNPLANNED DOWNTIME, MAXIMIZING OPERATIONAL UPTIME, IMPROVING PERFORMANCE, AND ENSURING CONTINUOUS EQUIPMENT AVAILABILITY.
In contrast, those using condition-based or predictive maintenance reported the greatest uptime improvements over the past year. Predictive maintenance uses continuous data about asset performance to identify potential risks and issues before any equipment fails. Digitalization enables operators to maintain assets through assessment and optimization by gathering, monitoring and analysing data to track performance outcomes.
Using insights from these digital solutions allows informed decisions on the most effective reliability strategies. With their ability to align maintenance with business priorities, outcome-based agreements represent a compelling next step for industrial businesses.
For instance, a Belgian sugar-processing plant who boosted process uptime and energy efficiency by 12 percent using digital-monitoring solutions. Facing critical downtime, data revealed high vibration on a fan due to built-up sugar particles. A simple clean and filter replacement helped the plant make savings of €4,000 per year per fan. The monitoring system optimized maintenance cycles too, identifying an optimal annual cleaning cycle.
The next step in reliability
Encouragingly, 66 percent of decisionmakers plan to increase reliability and maintenance investments in the next three years, recognising its importance. However, further education on the full benefits of reliability – including maximizing uptime, reducing costs, and ensuring peace of mind – remains crucial. ￭
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