A proposal to apply Taguchi-Inspired Methods to the reduction of machining variance
By: by Dan Trietsch
Contributors: Naval Postgraduate School (U.S.). Dept. of Administrative Sciences
Publisher: Naval Postgraduate School; Available from National Technical Information Service
Published: 1992
Place of publication: Monterey, Calif; Springfield, Va
Language: eng
Number of pages: 30
Subjects: MACHINING
Other titles: NPS-AS-92-021.
Description: The Probability a Machined part will be defective increases with the variance of the      machined dimensions. Even for parts within tolerance, the quality decreases with the      variance. By reducing the variance of these dimensions better parts will be produced.      Several factors, some of which are controllable, impact this variance, and they may also      interact with each other. By choosing an appropriate level for each controllable factor we      can minimize the variance. Since factors may interact with each other, a factorial      experimental design is appropriate to optimize the levels of the factors; optimizing one factor      at a time is not likely to yield the global optimum in the presence of interactions. The      designed experiments must be conducted in stages: (1) at the preliminary stage one      determines which factors and interactions are likely to be important; (2) at the exploratory      stage one runs a fractional design to identify the factors that are really important and to      verify/update the preliminary hypotheses about the interactions; (3) at the search stage one      uses a sequence of experiments with varying levels of the factors that were identified as      important to optimize their levels; finally, (4) at the verification stage one runs the process      under the levels deemed to be optimal, to check if the process behaves according to the      predictions. At any stage, after analyzing the current data, one may have to go back to a      previous stage. This report presents a list of factors and Interactions (preliminary stage      output), and a design for the exploratory stage. We also discuss how to interpret the results      and conduct the search stage. The plan is designed as a generic blueprint that can be used at      any machine shop.
Notes: Title from cover.

"NPS-AS-92-021."

"September 1992."

AD A256 129.

Includes bibliographical references (p. 27).

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