ENLYZE WHITEPAPER

Increase productivity in manufacturing

A guide on how to increase the productivity of your manufacturing using OEE data-driven methods - simple and efficient.

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This is what you can expect in our whitepaper

Productivity in manufacturing is always an important factor for the profitability of production companies. Whether one wants to achieve the highest possible output during times of high economic activity, or has to reduce costs during times of challenging economic conditions.

This is what you can expect in our whitepaper

01. OEE as a Key Figure / Definition of OEE

OEE consists of three factors: availability, performance, and quality. The OEE metric relates the pure productive time, or the time that a completely effective machine would have needed for production, to the time that was actually required for manufacturing.

02. Biggest Loss Analysis: Identify Largest Losses

The Biggest Loss Analysis provides a quick overview of production losses and helps identify key areas for improvement measures. By taking a closer look at the loss categories, concrete actions can be derived, and their progress can then be measured with the OEE.

03. Data as a Basis for the Implementation of the OEE

The OEE metric must be accurate and reliable in order to effectively manage production. So far, most OEE implementations are based on manual data collection and therefore do not reflect the actual production reality. Find out in this chapter how an automated OEE calculation works.

04. The 3 biggest sources of error in OEE calculation

Our experience over the last 6 years shows that the three biggest factors for inaccurate and false OEE metrics have the following causes: manual recording of downtime, equipment-based performance reference, or inaccurate calculation during periods.

05. Summary

A precise OEE calculation is ensured by:

Automated recording of downtime using machine data
Use of product-based performance references to capture actual performance losses
Calculation of observation periods through proportional allocation of losses via the integral over the constant performance value recorded by the machine

A precise OEE calculation is ensured by:

Automated recording of downtime using machine data
Use of product-based performance references to capture actual performance losses
Calculation of observation periods through proportional allocation of losses via the integral over the constant performance value recorded by the machine