Using IoT to analyze OEE
OEE and IoT
It is an established fact that Overall Equipment Efficiency (OEE) is the best measure of manufacturing capabilities as it combines the three vital parameters ofAvailability, Performance and Quality It enables devising methods to improve overall efficiency, productivity and quality by reducing wastage For this score to provide meaningful insight into operations, it is imperative that it is generated in real-time
Although OEE has gained momentum from the late eighties implementing it often involves a tradeoff between improvingAvailability, Performance and Quality Improving one often leads to lowering of any other parameter.The internet has also brought in the concept of Internet ofThings (IoT) which can be used to analyse OEE in real-time, world-wide
Data when it matters
By the time data is made available, the process often moves to the next cycle Data is actionable only if it is available in real-time to enable immediate interventions IoTeliminates snapshot-oriented data, thereby providing accurate baseline OEE calculation for further action to be taken
Data visibility
The information is transparently available not only to the managers, but also to the workforce who can now track against their daily targets and make immediate improvements Visibility is made available on the sections in any manufacturing line needing immediate attention.This has the added advantage of empowering your workforce leading to more job satisfaction and better performance Management can now plan to track production and improve in real-time
Predictive Maintenance
Real-time OEE enables the identification of machinery that underperforms over time This helps to predict maintenance requirements and attend to any before it snowballs into a catastrophic failure
Preventive Maintenance
IoTenables understanding the time and place of a downtime requirement Management can now utilise this information to plan preventive maintenance, equipment modification and manpower schedules, with least impact on productivity.