CONFERENCE MAGAZINE VIRTUAL CONFERENCE : 25 -27 October 2022 LEARN HOW DIGITISATION TAKES YOUR ASSETS TO THE NEXT LEVEL The introduction of data analytics into calibration Focus on improving CMMS data quality to boost O&M ROI Lessons learned at the Melt Shop How to drive operatingmaintenancesmarterandbetterdecisions www.assetperformance.eu ‣ ‣ ‣ ‣ INCLUDES 1 YEAR ACCESS TO ALL RECORDINGS & EXTRA WEBINARS
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Asset Performance 4.0 is hosted online only, which means you can join us from your workplace or from home. And if you want to re-watch certain presentations, you can always log in to view all recordings on demand, since you have 1 year access to the platform. And when you’re with us, you can discover innovative digital solutions on the virtual exhibition floor. I hope you enjoy the carefully selected programme and I am looking forward to welcome you at the Asset Performance 4.0 Online Platform.
The Asset Performance 4.0 Virtual Conference focuses on disruptive technol ogies without omitting the essential basics and best practices in the field of maintenance, reliability, condition monitoring and asset management.
WIM VANCAUWENBERGHE
Conference Director EDITORIAL Conference Magazine | 3
WELCOME TO ASSET PERFORMANCE 4.0!
Discover best practices, essential considerations and innovative approaches for digital transformation in asset intensive environments, and get inspired by cases from Balta, Evonik, John Cockerill, La Lorraine, Proximus, and many more.
EDITOR-IN-CHIEF: Chiara Van cvs@assetperformance.euSteenberge Kim : Sophie sv@assetperformance.euVanaelst
This year’s virtual conference will continue elaborating the insights and trends that we are currently experiencing in the middle of the 4th industrial revolu tion. We have set up Asset Performance 4.0 to provide a comprehensive and attractive agenda of learning opportunities for stakeholders from all over Europe and beyond.
After last year’s successful live edition of Asset Performance 4.0, we wel come you to the virtual edition of 2022. With your registration, you also get access to the full community and knowledge platform with more than 200 recorded presentations. In previous years, Asset Performance 4.0 welcomed more than 900 participants on the online platform.
Colofon PUBLISHER: Wim Vancauwenberghe BEMAS vzw-asbl Bd. A. Reyerslaan 80 1030 Phone:Brussels+322706 85 www.ap-magazine.euinfo@assetperformance.eu41
LAYOUT:
Many companies have a reactive approach, only calibrating when local regulations or quality requirements force them to it. Others may use arbitrarily fixed dates that fit in with planned maintenance schedules rather than being driven by data. Yet in correct adjustments after poorly-executed calibration can be worse than no calibration at all. This problem becomes particularly acute when manufacturers use third-par ty calibration companies just to obtain a certificate. Such companies typically ad just towards standards but do not allow for effects on the process. In one example, a company spent years in constantly making unnecessary adjustments to flow meters, due to a lack of instrument and application knowledge, resulting in poor batches. Such problems can be avoided by using calibration companies with ISO 17025 or other accreditations, allowing them to de liver traceable results and therefore guar anteed performance.
ENDORSED INSIGHT - ENDRESS+HAUSER
Opportunities for improved maintenance strategies can also be created, allowing a transition from corrective to condition-based monitoring, and preparation for future pre dictive maintenance. Predicting when a device will need maintenance would allow essential work to be planned around produc tion schedules, improving the maintenance activities during planned shutdowns, and re ducing unplanned shutdowns. Materials can be ordered in advance keeping the impact on the production process to a minimum, lead ing directly to higher availability and process performance. There is a further, less-known side effect. An optimal calibration process, possibly combined with a condition-based monitoring system, can bring certainty that the root cause of drifting measured values is due to changed process conditions rather than instrument drift. Hence, well-perform ing instrumentation will detect changed pro cess conditions. Digitalization is already a fa miliar concept within chemicals production; however, it has so far only been applied to production rather than calibration data. This whitepaper looks at how digitalization can be used to optimize calibration routines; it discusses a balanced approach which achieves cost-savings from increasing cali bration intervals where possible, yet miti gates risk by decreasing intervals where ab solutely necessary. This approach employs a proven scientific method using unique artificial intelligence (AI) techniques, called Calibration Interval Optimization, or CIO.
Discover the keynote presentation by: Continue reading online: bit.ly/EH-calibration Endress & Hauser
NEW DIGITAL OPPORTUNITIES IN THE CHEMICAL INDUSTRY
In the Chemical industry, instrument calibration increases measurement accuracy, which in turn increases production reliability. Making use of the calibration data provided by the calibration process can increase outputs, reduce costs, improve process safety and expand knowledge.
Current calibration practices and problems
THE INTRODUCTION OF DATA ANALYTICS INTO CALIBRATION
Calibration: The hidden opportunity Primarily, digitalization can optimize cali bration intervals, reducing cost and mitigating risk. However, it also gives confidence that processes are operating within tolerance. By eliminating inaccurate measurements, it assures product complian cy, reduces energy inefficiency or costly raw material loss, and improves other production KPIs. Additionally, accurate and consistent results from quality-critical devices ensure product quality. Optimization of calibration in tervals can also improve process safety, miti gating risk to staff. This is always an important concern within the Chemical industry.
Additionally, fixed calibration intervals that do not account for process conditions may not only increase cost; every interaction with a device introduces risk to the process. In the Chemical industry there is a tendency to pre vent people accessing the field for unneces sary decommissioning and deinstallation of equipment. Risk of chemical product expo sure and costly access requirements lead to a reduction in these actions. Calibrating only when needed will significantly reduce these risks and willcertainly save costs.
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Use the good CMMS data now and receive automated recommendation to improve overtime
Elevate proactive maintenance effectiveness Doing all these things can be a challenge, especially when you must balance multiple CMMS (computerized maintenance man agement systems) instances, constrained resources, staffing changes, or other chal lenges. It’s essential to demonstrate the ROI of data-driven decision-making at the asset and process level to gain the confi dence to make further investments.
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Conference Magazine | 5
POWERFULDIGITAL’SINDUSTRIAL DATA DIAGNOSTICS SOFTWARE TAKES THE GUESS WORK AND MANUAL PROCESS OUT OF THE EQUATION. — GE DIGITAL “ Continue reading online:
If your enterprise has problems with data quality, you’re in good company. There’s no such thing as perfect data. While perfection may not be possible, improvement certainly is – and it can pay big dividends. How can you achieve better results using your mainte nance data?
Industrial Data Diagnostics software includes a simplified sum mary to understand your data and maintenance operations by enterprise site, and asset. © GE Digital
The details are key. Setting business goals is vital and so is connecting those goals to the right data. One common mistake is relying on too many metrics – the adage of quality over quantity applies here. Assess how a measurement tracks to your key business goals. Then, just as important is connecting the data collectors with the data analysts to make sure they speak the same language. If employees can’t under stand what the data is telling them and know what action to take quickly, serious errors could occur. Quantify your results Once you’ve set your goals and made sure the right connections are being made, it’s time to get even more con centrated. Rather than focusing on high-level metrics, drill down to an as set and process level. The goal is proac tive decisions, not reactive corrections. For example, monitoring changes in a critical asset’s performance can let you know when it can be pushed or when it’s Whenoverstressed.youwork on the metrics that give you decision-making power over how and when to run a maintenance process, you move from meantime be tween failures to mean-time between repairs. This shift saves costs, allows processes to run more efficiently, re duces downtime, and empowers your people to make a difference before an issue crops up. Automatically find the inconsistencies and gaps in CMMS data Measuring improvement isn’t just about you – it’s about benchmarking across your organisation and with peers. Good data allows you to make good decisions and show the impact of those decisions against your key performance indicators. That’s what allows you to build the case for proactive actions that prevent failures before they happen, address chronic is sues, and save more money holistically.
the
FOCUS ON IMPROVING CMMS DATA QUALITY TO BOOST O&M ROI
USING
ENDORSED INSIGHT - GE DIGITAL
Using GE Digital’s powerful Industrial Data Diagnostics software takes the guess work and manual process out of the equa tion. Identify errors, inconsistencies, and gaps in your work history data without performing tedious and complex manual data queries, allowing your teams to focus on high-value business drivers. Actionable and reliable data provides instant visibility into your maintenance reliability program’s performance so you can make profitable decisions now and longer term.
Discover keynote presentation by:GE bit.ly/GE-cmms
Identify key data metrics that drive true results
Put your good data to work now to see business results today, as you contin ually improve your bad data over time.
To streamline the Maintenance & Asset Management processes, Bekaert took the Mainnovation Process Map as a base. They tuned the Process Map to the needs and the specific situation of Bekaert. This is now used as the template and reference process. In a second step, a program was set up to improve the maintenance maturity in the plants.
Dimitri Malschaert (Managing Consultant at Mainnovation)
William Bauters (Global Asset & Maintenance Manager at Bekaert)
The manufacturing process of rugs requires realtime and accurate detection of the correct line along which to automatically fold a rug. Because of the wide variety in rug textures, patterns and color, it is infeasible to solve this problem with conventional image processing in a robust and futureproof manner. ML6 trained a machine learning model to tackle this problem and integrated it into the existing manufacturing line. To fully utilize the benefits of machine learning, a continuous data collection and retraining pipeline was built to enable continuous learning.
15:00 - Industry 4.0 Operator Training: 3D SelfEducation and Improves Learning Retention Gauthier Van Damme (General Manager at Transurb Simulation) Bertrand Namurois (Mechanical Project Engineer at John Cockerill)
14:45 - Better collaboration in operations: Gemsotec and Nippon Gases Geert Sergoyne (CEO at Gemsotec) Kevin De Blochouse (Process Manager at Nippon Gases)
14:45 - Value the future, upgrade the past Joachim Antonissen (CEO at Guaranteed) Stijn Droessaert (Support Manager steel shop at ArcelorMittal Belgium)
WEDNESDAY 26 OCTOBER
THURSDAY 27 OCTOBER
In order to improve training efficiency Trainlab software integrates 3D reproductions of an equipment to create an interactive and user-friendly environment for training. With this implementation, a new training experience is provided for John Cockerill galvanizing lines.
In this presentation we would like to demonstrate how the use of XXL metal 3D printing using Guaranteed’s WAAM technology (Wire & Arc Additive Manufacturing) can create sustainable value for the steel industry by extending the lifetime of critical com ponents of the continuous casting line.
14:00 - Use of big data to improve on safety - find hidden patterns in plant data
13:45 - Multisite improvement program based on uniform processes
Esta De Goede (Senior Consultant)
The plants on Chemelot realize that they need to make a next step in preventing incidents. The standard risk analyses do not offer enough scenario’s. But within plants, an enormous amount of data is available. That can be used to predict incidents, to get early warnings, to find weak signals and hidden patterns.
13:45 - Optimizing Balta’s rug production by accurate AIdriven machine steering Arne Vandendorpe (Machine Learning Engineer at ML6)
HIGHLIGHTED CASES
A good communication between production and maintenance is key for a fluent collaboration. To this end, the chemical site of Nippon Gases went through changes, such as digitizing the current processes and workflows. Topics discussed are: How to drive change with onrganisations, how to link with already existing maintenance software, the resources needed...
TUESDAY 25 OCTOBER
CONFERENCE PROGRAMME* OCTOBER 25 TH 2022 * Conference programme on the moment of publication may be subject to change. Detailed programme on www.assetperformance.eu. TRACK 1 : APPROACHES AND IMPLEMENTATION METHODS FOR RELIABILITY & MAINTENANCE STRATEGIES 13:00 Digital Enablement of Reliability Work Processes Ross Hegefeld (Global Rotating Equipment Reliability Lead at Chevron Philips Chemical Company) + Vinay Nihalani (Manufacturing Digital Strategy manager at Chevron Philips Chemical Company) 13:45 Taking full advantage of EAM-data to create added value case Ter Beke Rob Golbach (Executive consultant at Mainnovation) + Ward Verhelst (Technical Manager at Ter Beke) 14:45 Asset Criticality the simple way - 8000 assets in a matter of weeks Julien Maffre (Owner and Senior Consultant at AMSYST) 15:45 Towards a ‘Pareto toolset’ for reliability engineering in the digital age Simon Van Benten (Owner & Reliability Engineering Consultant at NRS Consulting) + Moses Ahenkwan (Reliability Engineer at APM Terminals) 16:45 How to support root-cause analysis and Bad actor analysis by performing cross-equipment CMMS data mining? Tom Rombouts (4.0 Director at I-care Group) + Vincent Leprince (Maintenance Engineer 4.0 at I-care Group) TRACK 2 : AUGMENTED, MIXED & VIRTUAL REALITY (AR, MR & VR) 14:00 Harnessing Augmented Reality for real time continuous operational improvements Shakil Ahmed (SVP Business Development at GLARTEK) 15:00 Industry 4.0 Operator Training: TrainLab Provides 3D Self-Education and Improves Learning Retention Gauthier Van Damme (General Manager at Transurb Simulation) + Bertrand Namurois (Mechanical Project Engineer at John Cockerill) 16:00 AR in Field Service: How to earn more with what you have Ben Mahy (Co-founder & Director at Supportsquare) + Johan Van Riet (Global Customer Care at JBTC) TRACK 3 : ARTIFICIAL INTELLIGENCE SYSTEMS & ALGORITHMS 13:45 Exploiting CMMS data for predictive maintenance Arne Deloose (Research and Teaching Assistant at UGent) 14:45 Hybrid AI for PHM: embedding expert knowledge into your AI Sofie Van Hoecke (Professor at UGent-imec) 15:45 Hands-on creation of predictive maintenance models using machine learning David Verstraeten (Managing Partner and Head of Engineering at Yazzoom) 16:45 Soft sensor Use small data to have big impact on your process Levi Slap (AI Manager at AG Solution) + Steven Smedts (Automation Manager) TRACK 4 : ENHANCED HEALTH & SAFETY 14:00 Use of big data to improve on safety find hidden patterns in plant data Esta De Goede (Senior Consultant at Sitech Services) + Gui Hoedemakers (QESH Manager at AnQore) 15:00 Using Near Miss notification and workflow to accelerate safety culture improvements Jan Sinnaeve (Group Technical Services & HSE at La Lorraine Bakery Group) 16:00 Remote Supervision of Roadworks with RoSi Mark De Vriendt (Specialist Construction Software at Proximus)
OCTOBER 26 TH 2022 TRACK 1 : ASSET MANAGEMENT 4.0 13:00 The Digital Transformation & APM 4.0 Paul Casto (APM Industry Principal at GE Digital) 13:45 Multisite improvement program based on uniform processes Dimitri Malschaert (Managing Consultant at Mainnovation) + William Bauters (Global Asset & Maintenance Manager at Bekaert) 14:45 Integrated APM: Seamless Management of Asset Strategy and Health Barry Hulse (Account Executive at ARMS Reliability) 15:45 New Asset Management Strategies to address the old and new challenges of the Power Grid Marc Hoppenbrouwers (Associate Partner at IBM) + Christophe Rennotte (Head of Asset Mgt Competence Center at Elia Grid Int.) 16:45 Digitalization of your Asset Management Value Stream Riaan van der Merwe (Senior Manager at PwC) TRACK 2 : MOTOR SYSTEMS 4.0 14:00 Energy Efficiency of Rewound motors The EASA accredition program Emmanuel Buyck (CEO at The Rotating Company) 15:00 Electric motor replacement or maintenance for increased energy efficiency Kurt Stockman (Professor at UGent) 16:00 The dark side of Variable Frequency Drives Bram Vervisch (Co-founder at Orbits) + Bram Corne (Diagnostic Expert at Orbits) 17:00 Best Practice Motor Management Database Mark Gurney (Motor Analyst at 3phi Reliability) TRACK 3 : SMART SENSORS & IIOT CONNECTIVITY TECHNOLOGY 13:15 Real life examples how connected instruments have an opex impact Peter Gijbels (Optimization and Consultancy Manager at Endress+Hauser) + Jelle Vandeputte (Digitization Consultant at Endress+Hauser) 14:15 Starting point for creating visibility on your machine network John Paul Morgan (ICS Security Specialist at Phoenix Contact) 15:15 The Tech Stack goes physical: raising the stakes for uptime, redundancy and security Andy De Schrijver (Director IoT at Deloitte Consulting) + Tim Paridaens (Partner IoT at Deloitte) 16:15 Edge intelligence for special-purpose assets: a practical perspective Nelson Matthys (CEO at VersaSense) 17:15 CUI: how to beat this hidden killer with fiber optic monitoring Thomas Van Hoestenberg (CEO at Fluves) + Robin Guldentops (Asset Manager ESP/IL at BASF) TRACK 4 : DIGITAL TWINS 14:30 Plant Simulation for designing, optimizing and increasing production Len Janssen (Expert Consultant at PDM) 15:30 Leveraging the Information Digital Twin for Maximum Reliability Matt Newton (Director at AVEVA) 16:30 The Digital Risk Twin a Model-Based approach for smarter optimization of Asset Performance and Availability Stefan Dutre (Product Manager Model Based RAMS at Siemens Industry Software) + Jishnu Jayaram (Application Engineer at Siemens Industry Software) TRACK 5 : SMART MAINTENANCE & SERVICE SUPPLY CHAIN 14:45 Value the future, Upgrade the past Joachim Antonissen (CEO at Guaranteed) + Stijn Droessaert (Support Manager steel shop at ArcelorMittal Belgium) 15:45 No code toolkit for your digital transformation Thomas Monier (CEO at Actemium Lille Digital Solutions) 16:45 Current and future developments in shut down and turn around digital transformation Marc Eyckmans (Knowledge – Innovation & Digital Manager at ENGIE EMS) + Dimitri Moens (Operational Excellence Manager at ENGIE EMS)
OCTOBER 27 TH 2022 * Conference programme on the moment of publication may be subject to change. Detailed programme on www.assetperformance.eu. TRACK 1 : SMART OPERATIONS & MANUFACTURING 13:00 Drive Smarter Maintenance and better Operating Decisions Fabrice Brion (CEO at I-care Group) 13:45 Optimizing Balta’s rug production by accurate AI-driven machine steering Arne Vandendorpe (Machine Learning Engineer at ML6) 14:45 Augmenting AI with physics and thermodynamics for high fidelity digital twins to achieve Higher Process Yield Dominic Gallello (CEO at Symphony Industrial AI) 15:45 Boosting Reliability with data driven design optimizations Vincent Leprince (Maintenance Engineer 4.0 at I-care Group) + Albermar Dominguez (Data Scientist at I-care Group) 16:45 Advanced Production Planning & Scheduling Automation Made Easy Thomas Meersseman (Operations Director at The Grain) TRACK 2 : SUSTAINABILITY, ENERGY & EMISSION OPTIMISATION 14:00 Boosting emission monitoring through Machine Learning PEMS at work Dimitri De Bodt (Sales Manager Analytics BeLux at ABB) + Marta Sabbadin (R&D Engineer PEMS Specialist at ABB) 15:00 Support for the management of an energy recovery unit using AI and a man-machine interface Philippe Mack (Founder and CBDO at PEPITe) + Frederic Lorquet (Site Manager at 2Valorise) + Geoffroy Jennes (Senior Project Manager at Equans) 16:00 Why monitoring Steam Traps with IoT sensors makes a lot of sense Philipp Esser (Business Development Manager at Henkel) 17:00 The world is changing, what about you? Patrick Vanschourboek (Senior Business Developer at Actemium) TRACK 3 : LUBRICATION 4.0 13:15 Transforming Lubrication from Time-based to Condition-based from assumption to Ultrasound provided data Haris Trobradovic (Area Sales & Training Manager at SDT International) 14:15 Condition monitoring: sharing infrastructure of vibration and lubrication sensors to reduce costs Eric Delvaux (Account manager industry at Schaeffler Belgium) 15:15 The value of a autonomous, Data driven, condition based Lubrication system Tom Rombouts (4.0 Director at I-care Group) + Wouter Bogaerts (Prescriptive Maintenance Director at I-care Group) 16:15 Remote Ultrasound assisted lubrication Peter Boon (Productmanager at UE Systems) TRACK 4 : MOBILE DATA FOR MOBILE WORKERS 14:30 Augmented Documentation for Enhanced Operators Nicolas Beaube (Digital Technical Manager at LGM) + Marc Sassus Bourda (Senior Data Manager at LGM) 15:30 The promise of integrated technical documentation in the machinery industry Remi Declercq (VP of Business Development at Tweddle Group Europe) 16:30 Mobile Experience in a Disconnected Environment Paddy Douglas (Systems Engineer / Maximo Enterprise System Manager at Leidos Antarctic Support Contract) TRACK 5 : ENHANCED TECHNICIAN EFFICIENCY & EFFECTIVENESS 14:45 Better collaboration in operations: Gemsotec and customer Nippon Gases Geert Sergoyne (CEO at Gemsotec) + Kevin De Blochouse (Process Manager at Nippon Gases) 15:45 A Gamechanger on flexibility to Digitize SAP Plant Maintenance Christophe Wuyts (Account Executive at Sigga Technologies) 16:45 Data-driven planning optimization for smart maintenance Lander Dufour (Founder at i-link)
Discover
— JOHN
Continue reading online:
ENDORSED INSIGHT - SDT ULTRASOUND SOLUTIONS
LESSONS LEARNED FROM SDT’S LIVE ONLINE LEVEL ONE TRAINING
John Garrison is a SDT Level One Trained Ultrasound Inspector working as a Melt Shop Mechanical Technician in Alabama, USA. This is part of his reliability journey as told by him.
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THANKS TO SDT, I’VE BEEN ABLE TO PREVENT UNPLANNED DOWNTIME MULTIPLE TIMES. GARRISON Mechanical Technician Melt Shop “ bit.ly/meltshop
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I would recommend this course to any one interested in becoming more familiar with ultrasound regardless of current skill set. There is something to be learned for all levels of ultrasound inspectors. While some classes make you feel like a prisoner voluntold to be there, not here. It is fun, engaging, and flourished with a pletho ra of useful knowledge and information. In the short 8 weeks of this class, I have found several failing components in our mill. I’ve been able to prevent unplanned downtime multiple times by planning to change the components on our time rather than running them to failure. ￭ the keynote presentation by: John Garrison John Garrison
As a mechanic in charge of a por tion of the mill, safety and reli ability is a must for myself, my company, and our customers. Giving our Operations group the best equip ment and training possible is key to our success. For years we have outsourced the vibration, oil, and thermal analysis of our predictive maintenance program, and for years we have thought it was acceptable. But I can recall many occa sions when components said to be good, turned out to be bad, or components said to be bad, turned out good. It was clear that our reliability program needed more.Iwas approached by management and asked to lead an ultrasound campaign to improve our reliability program. The first thing we did was buy an SDT270 unit. When it arrived, I found myself staring at an expensive, little blue box which I had no clue what to do with. Shortly after I discovered SDT had a Live Online Level 1 Class starting soon, so I registered. I was pleased with all the additional on-demand webinars, lessons, and hours of learning from experienced reliability professionals that also came with the course. The structure of this class was phenomenal and suited to the way I learn, who wants to sit in class for 8 hours a day? Definitely not me! This class takes place over 8 weeks, 2 classes a week 2 hours each class. This helped me retain the information learned and gave me the time in between classes to go out in the field and practice what I had learned! Paul Klimuc, SDT’s Level 1 instruc tor is very engaging with the class and gets students involved. He has a way of teach ing that sticks with you. I was able to learn the 8 pillars of ultrasound, their applica tions to my facility, as well as the process of heterodyning which is how the SDT units converts ultrasound signals to audible sig nals for us to listen to, and much, much more! We also dove deep into the UAS3 software, learning how to build equipment lists, and work surveys. Each class began 30 minutes early for questions, concerns, or just general friendly chit chat, as well as ended late for more of the same. The most common theme throughout the course was Paul driving home the point of safety.
BY COLLECTING, INTERPRETING, AND APPLYING THE RIGHT DATA
Discover the
HOW TO DRIVE SMARTER MAINTENANCE AND BETTER OPERATING DECISIONS
ENDORSED INSIGHT - I-CARE GROUP TO MAKE LEADERS AWARE OF ANALYSTSCHALLENGES,MODERN-DAYI-CAREHAVEDEVELOPED A LIST OF QUESTIONS TO MAKE MORE INFORMED, EFFECTIVE DECISIONS. — VIRGINIE DE STEXHE Chief project officer, I-care “ Continue reading online: bit.ly/apply-data © I-Care Conference Magazine | 11
With the rise of the fourth industrial revolution (industry 4.0), a new world of possibilities has opened for manufacturers. Given this extraordinary evolution, it’s inevitable that the shift must in volve leveraging all the value inher ent in available data. Furthermore, statis tics support that outcome. In 2019, a joint study was conducted by Deloitte and the Manufacturer’s Alliance for Productivity and Innovation (MAPI) to make the business case for investing in smart factory initia tives to drive better outcomes. Among the findings, the study found that firms that im plement smart factory initiatives report an average of 10-12% gains in manufacturing output, factory utilization and labour pro ductivity. Despite this seismic shift, many firms are still struggling with IT challenges, ranging from aging infrastructure to incom plete (or ineffective) utilization of the cloud. Additionally, cybersecurity remains a huge concern, with risks ranging from operational downtime and physical damage to theft of intellectual property and sensitive data. In 2016, IBM identified the manufacturing sec tor as being one of industries most heavily targeted by cyberattackers. As of February 2021, manufacturing operations were still on cyberattackers “most wanted list.” Further compounding the problem, manu facturing leaders often don’t realize that the information to address all these challenges is already available to them. Trillions of data points are being generated every day by an array of industrial activities, facility, and ma chine activities. All of them can be collected, aggregated, analyzed, and interpreted to pro vide deeper, richer insights never before pos sible. Reaping full value from this data not only mitigates risk; it also boosts productivity and profit. Extracting the value Insight has been the impetus for manufac turing evolution, and yet the vast majority of operational data is still not leveraged to perform and interpret analytics. This in action is causing industrial firms to miss a huge opportunity to expand insight and optimize operations. Industrial control data runs the gamut from vibration readings to statistics on granular activities, e.g. how much time a particular piece of equipment spends cutting (in metal-to-metal contact).
A sensor might monitor and report on vi bration limits for a certain machine or one of its parts. PLC data from that machine might provide notification that a fault is occurring in production. When data from industrial equipment is collected, aggre gated, and most importantly, analysed and interpreted, manufacturers are em powered to convert that data into infor mation and turn information into insight.
Yet, many industrial leaders currently don’t understand the value of multiple pointsource aggregation and analysis for inform ing tasks ranging from predicting failures and resolving operating bottlenecks to tracking and optimizing daily production schedules. Some don’t even realize how much informa tion can be captured. In the least-efficient scenario, personnel is still managing equip ment, and its maintenance and operation, using hand-written checklists. ￭ keynote presentation by:
All accounts include: Access to the virtual conference on 25, 26 & 27 October 2022 1 year access to all recordings of the conference presentations 1 year access to 150+ webinar recordings TARGET AUDIENCE Asset Performance 4.0 provides a comprehensive and attractive agenda of learning opportunities for anyone with a keen interest in increasing asset performance. We address both technical and managerial practitioners active in asset intensive industries across Europe and throughout the world: HOW TO REGISTER Please go to www.assetperformance.eu or scan this QR code to complete your registration. For more information about the registration procedure, please send an e-mail to: info@assetperformance.eu or call +32 2 706 85 41. REGISTRATION MEMBERS OF BEMAS & SUPPORTING ORGANISATIONS NORMAL RATE 1 ACCOUNT € 345 € 445 5 ACCOUNTS € 445 (only € 89 per person) € 545 10 ACCOUNTS € 645 (only € 64,50 per person) € 745 All rates are excl. 21% Belgian VAT. VAT can be reclaimed from the Belgian tax authorities. · Operations Managers · Maintenance Managers · Plant Managers · Production Managers · CTO’s · Asset Managers · Maintenance & Reliability Engineers · Service Managers · Quality Managers · Digitisation Managers · Industry 4.0 Program Managers · AI & Data Engineers · IIoT specialists BEST DEAL!
