Feb 27 2014
A brief rant about the ABC’s | Bill Waddell
See on Scoop.it – lean manufacturing
“Apparently the folks writing about stratifying inventory into A, B and C items and building calculations of such into ERP packages didn’t get the lean memo.
Wikipedia is typical of such thinkers when they describe the ABC thought process as:
- ‘A’ items – 20% of the items accounts for 70% of the annual consumption value of the items.
- ‘B’ items – 30% of the items accounts for 25% of the annual consumption value of the items.
- ‘C’ items – 50% of the items accounts for 5% of the annual consumption value of the items.
The idea of micromanaging some items and slacking off on others based on purchase price is the very same theory they taught me at the University of Cincinnati back in the days when … ”
I agree with Bill that, from the point of view of manufacturing operations, the purchase price of materials is not the most important parameter. because the lack of a nail can prevent the completion of a product as effectively as the lack of a pump costing 1,000 times more.
It doesn’t mean, however, that classifying items to treat them differently is wrong, but it must be done by frequency of use rather than price, and I prefer to call the categories “Runners,” “Repeaters,” and “Strangers” rather than A, B, and C.
As a function of rank, I then look for the percentage of units actually built that can be fully assembled with only the items of this rank and higher. It starts at 0%, and, as long as it stays at 0%, I consider the items to be Runners, essentially items you can’t build any product without. At the other end of the spectrum, I call Strangers all the items without which you can make 95% of the units. And everything in-between is a Repeater.
Then you may decide, for example, to dedicate an easily accessible storage location to each Runner, and make special arrangements with suppliers. For Repeaters, you may use the Kanban system, with smaller dedicated locations. And you don’t keep any stock of Strangers, but order them as needed and store them, if at all, in dynamically allocated slots.
See on www.idatix.com
Mar 8 2014
Is OEE a Useful Key Performance Indicator? | Jeffrey Liker
See on Scoop.it – lean manufacturing
“For manufacturing that is equipment-intensive, how the equipment works is often the main factor in productivity. Total Productive Maintenance (TPM) has become a buzzword in lean and a generally accepted metric is Overall Equipment Effectiveness (OEE). This is measured as the product of three factors:
Ignacio S. Gatell questions whether companies using OEE really understand it, can explain it clearly to their customers, and understand what it means to compare OEE as a KPI across plants. He questions whether even plant managers understand how it is calculated and what it means.
The only good argument for OEE is that at a macro-level in a plant it provides a high level picture of how your equipment is functioning.”
About 15 years ago, a summer intern came to work at a client plant in aerospace machining. I thought a great project for him would have been to identify a common tooling package for machining centers that were grouped in a “Flexible Manufacturing System” (FMS). It was challenging, but it would have actually given the FMS the flexibility it was supposed to have. It was a real engineering project that would have improved performance.
Management, however, decided that a better use of his time was to collect data and calculate OEEs for another set of machines. It did keep the student busy all summer, but resulted in no change, and no improvement bragging rights for the student.
I have had a problem with OEE ever since. It is an overly aggregated and commonly gamed metric that you can only use by breaking it down into its constituent factors; you might as well bypass this step and go straight to the factors.
Among these factors, I find Availability to be most often confused with Uptime. The availability of a device is the probability that it works when you need it, and the total time in the denominator has to be the time you need it for. For example, if you work two shifts a day, the availability of a machine is not affected by your taking it down for maintenance on third shift. There have been cases of managers overproducing to increase run time and thereby boost the OEE of their machines…
See on www.industryweek.com
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By Michel Baudin • Blog clippings • 5 • Tags: Lean, Liker, OEE