Plantrun systems automate OEE data collection, reporting and analysis eliminating the problems and costs associated with collecting and processing OEE data manually.

OEE (Overall Equipment Effectiveness) is a widely used analysis and benchmarking metric and is expressed as a percentage.  World class performance level for OEE is generally regarded as 85%. 

 OEE% = Availability x Performance Rate x Quality Rate

Availability  = Operating Time / Planned Production Time

Performance Rate = Pieces Produced / Ideal Rate x Operating Time

Quality Rate = Good Pieces / Pieces Produced

The OEE figure shows the combined effect of any changes that are made towards machine utilisation improvement.  It offers a convenient benchmark figure to refer to that is easy to understand and can help motivate staff towards further improving performance.

Eliminates the problems of manual OEE data collection

There are problems associated with manual OEE data collection and processing that any manufacturer tracking OEE will face.  These include..

• Heavy demand on staff time for collection and processing

• Inaccurate data due to time ‘guesstimations’ and inputting errors

• OEE information not being available when needed due to data collection and processing time lag.

In effect you can waste a lot of staff time collecting inaccurate data which isn’t available when you need it.  These problems intensify in proportion to the number of machines you want to collect data for.

Plantrun eliminates these problems by continuously monitoring machines and automatically calculating OEE in real-time.

The advantages that Plantrun provides become ever more important the more efficient your manufacturing process becomes.  When you begin to improve efficiency there is always 'low hanging fruit' – efficiency gains that are easy to make.  The more efficient your operation becomes the more difficult extra gains are to achieve without accurate available information. Under continuous improvement initiatives having highly accurate and real-time information is critical for benchmarking, targeting resources and measuring progress.

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