Controlling Variation


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Variation is the naturally occurring dispersion in a process which can be controlled, but not eliminated. Tool wear, vibration, and temperature fluctuations are a few of the factors that may contribute to variation. Variations are typically described statistically and traditionally controlled using Statistical Process Control (SPC) or Statistical Quality Control (SQC).

Controlling variation with settings

World class leaders in quality are eliminating Statistical Quality Control from the factory floor by controlling variation with "settings" rather than "adjustments." The setting control methods developed by Shigeo Shingo are generally simpler, less expensive, and more effective than adjustment methods.

Traditional adjustments

A simple example is useful in clarifying the difference in settings and adjustments. To compensate for tool wear on a milling machine, the milling head could be advanced as illustrated below. This action represents an adjustment. When the tool is changed, or the fixture is changed to process a different type of part, the relationship between the milling head and the bed of the milling machine has changed as a result of these adjustments. Consequently, the operator must spend a lot of time adjusting the fixtures and the tools to reestablish the proper relationship between the milling head, the tool tip, and the fixture.
 

 
   
  Setting tool positions

Shigeo Shingo showed that variation can be controlled using a different approach. The tool could be spring loaded into the tool holder. Periodically, between machining cycles, the tool holder and tool would be removed from the milling machine and placed in a simple fixture. When the clamping force on the tool is released, the spring pushes the tool forward to a fixed precision stop and then the grip on the tool is retightened, "setting" precisely the relationship between the tool tip and tool holder mounting points. Now, when the tool holder is placed back on the milling machine, the tip of the tool always has a precisely controlled relationship with the work piece and mill head without ever requiring an adjustment of the milling head position. When tools or fixtures are replaced, the same precision alignment is maintained without the need for adjustments between setups. This type of setting is illustrated below.

 

 
  Convert adjustments to settings

Controlling variation by settings has several major advantages over Statistical Quality Control guided adjustments. Up to 98% of the mistakes made during traditional adjustments are avoided. Data collection can be minimized or eliminated while process control is improved. Settings typically require less worker skill and products can often be manufactured effectively on less sophisticated production equipment. 

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