Prescient- Using OEE Data to Optimize Energy Consumption

1. Using OEE Data to Optimize Energy Consumption OEE tracking solutions are very effective Business Performance Management Tools that assess how efficiently a manufacturing activity is used. OEE is a continuous improvement technique that may be applied to single or multiple production lines and one or more facilities in a group-wide organisation. It is ideal for all production processes, whether discrete, continuous, or bulk. Simply put, the best OEE Software measures the gap between a manufacturing unit's actual and potential performance. Understanding OEE Metrics The OEE calculation considers three significant factors: ● Availability: The availability score compares the actual and projected production times. It considers things like equipment failures, changeovers, and scheduled maintenance. ● Performance: The performance score measures how well the equipment performs compared to its maximal potential. It considers equipment speed, brief pauses, and idle time. ● Quality: This assesses the pace of manufacture of "good count" items free of faults or rework. It takes into consideration scrap, reject, and rework. OEE is derived by multiplying the availability, performance, and quality elements. OEE equals availability x performance x quality. The outcome is a percentage figure that represents the efficacy of the equipment. A higher OEE percentage shows improved performance and effectiveness, whereas a lower proportion reveals areas for improvement. OEE is a popular performance statistic in manufacturing sectors for identifying areas for improvement, tracking progress over time, and benchmarking different equipment or production lines. In an Industry 4.0 setting, technologies such as cloud computing, edge computing, Internet of Things (IoT) devices, and others work together to give real-time data that can be used to measure and enhance OEE. Analysing OEE Data for Energy Insights A low OEE score suggests that the production process needs improvement. OEE data may be used to discover particular inefficiencies, such as downtime, speed losses, or quality faults. This can help increase production and decrease waste. OEE data may be evaluated in real-time using software designed to track and analyse data. This can help detect and address concerns before they become costly ones. Some software solutions can also send real-time notifications to help keep things functioning properly. Optimising Energy Consumption Using OEE Data OEE statistics can aid energy efficiency by giving real-time insights into the link between output and energy use. Here are several methods for optimising energy use using OEE data.

2. Correlate energy use and OEE statistics Use energy usage statistics to determine when OEE measures such as performance or availability fall. This can assist in identifying the underlying cause of problems and prioritising maintenance tasks. Integrate energy usage and OEE statistics. Combine OEE and energy consumption data to acquire real-time insights into the production-energy link. Use energy usage statistics to set standards. Use energy consumption statistics to monitor a machine's everyday consumption habits throughout operating conditions. Deviations may signal possible concerns. Integrate energy usage data with predictive maintenance plans. Integrate energy consumption data into current predictive maintenance processes to predict equipment breakdowns based on changing energy usage trends. OEE data offers valuable insights into the relationship between equipment efficiency and energy consumption. Businesses can identify areas for improvement and ultimately reduce costs. Implementing OEE tracking solutions and integrating energy data with a smart energy management system leads to better results. Sources: https://www.ibm.com/topics/oee#:~:text=Overall%20equipment%20effectiveness%20(OEE)%20i s,producing%20goods%20or%20delivering%20services. https://www.oee.com/calculating-oee/