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Holste's "Sorting it Out" Blog

Work Rate Verses System Productivity


Properly Interpreting and Analyzing Work Related Data is Key to Optimizing System Performance

 
Holste

In today’s digital environment businesses run on data. However, ever since analysts have been crunching numbers there’s been this old adage – “Garbage In = Garbage Out”. What they’re saying is that data is only as good as the methods used to measure it. If an operation is being measured the “wrong way”, the results can be miss interpreted and miss applied. As obvious as this may be, the proper way to measure is not always so obvious.

For instance, many shippers have issues with low picking rates. Often, the pick rate is being measured base on a 420 minute work period (8 hrs minus lunch and break periods). But, if due to system generated accumulative idle times the pickers are actually picking between 240 and 360 minutes per period that would then translate into low rate on a spreadsheet and would therefore be a miss leading measurement of pick rate. However, it is a measurement of system productivity. By comparing the true pick rate capability against system productivity, opportunities for improvement can be exposed.

The following examples show how basic data can easily be misinterpreted...

 
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Cliff Holste is SCDigest's Material Handling Editor,
and author of our Sorting it Out Column/Blog
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Sorting It Out : Work Rate Verses System Productivity
Properly Interpreting and Analyzing Work Related Data is Key to Optimizing System Performance
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New Materials Handling Tech Notes
 

The first analytic reports for the materials handling and distribution industry.

This report: Advances in Conveyor Technology increasing System Flexibility

 
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