Performance Optimization: A Phased Approach


Goh, T. N.   (1992, ASQC)   National University of Singapore, Singapore, 0511

Annual Quality Congress, Nashville TN    Vol. 46    No. 0
QICID: 9788    May 1992    pp. 1118-1124
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Article Abstract

Although SPC has been popular for decades, it is not enough to create a full-quality product; Design of Experiments is also necessary. The author outlines an approach for implementing the appropriate methodologies to manufacturing.

SPC can identify the parameters of the product in question and point out the processes or materials that lead to variation. Statistical design of experiments can methodically identify the correct links between the materials and processes to enforce or eliminate. The author identifies five stages in which design of experiments should be introduced.

In the first stage, motivation, he suggests exploiting the tendency of management and labor to "firefight" -- if design of experiments is presented as the solution to a problem (which it is), it will be more readily accepted. The second stage, reasoning, begins after you have motivated people to listen and involves explaining the benefits of optimizing design using statistical methods. Next you must set targets, then teach those involved how to use design of experiments properly by providing examples taken from their own work. Once learning is in place, you can begin implementing your new system.

The author's procedure leads to a design of experiments system that creates realistic and sustainable gains.


Design of experiments (DOE),Optimization,Performance appraisals,Process capability index (Cpk),Quality,Statistical process control (SPC),Taguchi method

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