Review Of Techniques For Optimizing Multiple Quality Characteristics In Product Development
Abbreviated Journal Title
Comput. Ind. Eng.
Keywords
product development; Taguchi's Methods; mathematical programming; response surface methodology; optimization; quality; SIMULTANEOUS-OPTIMIZATION; Computer Science, Interdisciplinary Applications; Engineering, ; Industrial
Abstract
For a manufacturing organization to compete effectively in the global marketplace, a strong product development process is essential. An important ingredient in the product development process is the identification and subsequent optimization of those product characteristics which denote quality. Relying upon inspection and testing to ensure product quality is inefficient and expensive. Rather, quality should be built into the design of the product, Consequently, product quality characteristics must be optimized during the product development process, Typically, there are several product quality characteristics which are important indicators of quality, and one or more of the quality characteristics may require optimization of both mean and variance. This paper describes the application of the methodologies available for optimization of quality characteristics in product development: Taguchi's Methods, mathematical programming, and response surface methodology. The utilization of each technique for optimization of a single quality characteristic and for optimization of both the mean and variance of multiple quality characteristics is described.
Journal Title
Computers & Industrial Engineering
Volume
31
Issue/Number
1-2
Publication Date
1-1-1996
Document Type
Article; Proceedings Paper
Language
English
First Page
107
Last Page
110
WOS Identifier
ISSN
0360-8352
Recommended Citation
"Review Of Techniques For Optimizing Multiple Quality Characteristics In Product Development" (1996). Faculty Bibliography 1990s. 1706.
https://stars.library.ucf.edu/facultybib1990/1706
Comments
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