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Benchmarking OEE

EMI brings packaging line performance analysis to life. Are you Best-in-Class, Average, or Laggard?
FILED IN:  Applications  > Food  > Snacks
This chart shows that of all the lines studied, the top 25% (best-in-class) are at 82% OEE, the middle 50% have OEE at 54.9%, anThis graph shows how well best-in-class, middle, and laggards perform across the three OEE components. Looking at best-in-class,This waterfall chart reflects average OEE for all operations studied, categorized into nine common downtime buckets. This is an Like the previous chart, this waterfall illustrates average OEE and downtime buckets for all operations studied, but this time aThe minor stop index is a measurement of the number of stops lasting 10 minutes or less each hour. According to the study, on avAccording to the chart above, best-in-class packaging lines owe a greater percentage of their downtime to minor stops than all o'How much do I really know about my packaging operation?' This graph tells us that on average, all but 4.5% of operating losses The study reveals a key insight--one size does not fit all when it comes to improving packaging line performance. Depending on w
A leading EMI (Enterprise Manufacturing Intelligence) provider, Informance International, specializes in helping manufacturers improve operations through performance analytics. In a nutshell, they provide real-time manufacturing metrics and pinpoint the underlying inhibitors of line performance. One of those metrics, OEE, has fast become the accepted yardstick that combines availability, performance, and quality to calculate an index showing how efficient a manufacturing operation is.

Each year Informance conducts a Manufacturing Benchmark Study, the most recent published in late 2009. Presented here are highlights of that study, which captured packaging line data from 725 consumer packaged goods manufacturing operations around the world. The time period spans January to June 2009, and accounts for 9.1 billion units of production across the 725 operations. Informance declines to identify how many unique companies are represented in the study, but the firm does indicate that it’s more than 100.

Worth noting is that the information presented here is not the result of a survey, where respondents are asked what they think their packaging line OEE is. This data comes straight from a PLC, and the sample size is large enough to make it a pretty accurate reflection of packaging line OEE at CPG companies in general.

And just how is the data collected? Through a product offering called the Informance Plant Solution. Informance founder and executive vice president John Oskin explains. “It’s a combination of software and instrumentation. We measure real-time production minute by minute by time-stamping items as they move through a factory. The Plant Solution forms a database from the time sequenced information, then analyzes and computes everything from uptime to downtime to quality. Attributes such as SKU information, reasons for downtime, etc. come from the PLCs themselves or an operator on the line.”







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