The classical Taguchi quality selection model considers the case there is one input characteristic and one output characteristic, and it aims to select the best input mean to minimize the loss of quality. In paper we consider much more general situation: there are n input characteristics and moutput characteristics. For three different cases, namely n < m, n=m and n > m, we develop different techniques to determine the best input means to minimize the loss of quality. It is very interesting to see that the linear programming appears naturally and the well-known simplex algorithm has been used to solve the problems.
Quality & Quantity – Springer Journals
Published: Oct 18, 2004
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