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Optimization of product and process design for quality and cost
Author(s) -
Phadke M. S.,
Dehnad K.
Publication year - 1988
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.4680040205
Subject(s) - mathematical optimization , minification , product (mathematics) , function (biology) , process (computing) , quality (philosophy) , computer science , noise (video) , reliability engineering , engineering , mathematics , artificial intelligence , philosophy , geometry , epistemology , evolutionary biology , image (mathematics) , biology , operating system
Robust product and process design is an important technique for achieving high quality at low cost. It involves making the product's function much less sensitive to various sources of noise such as manufacturing variation, environmental variation and deterioration. This is a problem in optimization involving minimization of the mean square loss resulting from the deviation of the product's function from its target. Here we show that the optimization can be carried out in two steps: first maximize a quantity called signal‐to‐noise ratio ( S/N ) and then bring the performance on target by special adjustment parameters. The two‐step procedure works for a wide variety of product functions and makes the optimization process more efficient and practical compared to the direct minimization of the quadratic loss function.