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Development of a mathematical model for process with S-type quality characteristics to a quality selection problem. (English) Zbl 1154.90379

Chan, Alan H. S. (ed.) et al., Advances in industrial engineering and operations research (IMECS 2007). Selected papers based on the presentations at the international conference, Hong Kong, China, March 21–23, 2007. New York, NY: Springer (ISBN 978-0-387-74903-7/hbk). Lecture Notes in Electrical Engineering 5, 67-81 (2008).
Summary: A quality selection problem generally identifies the process parameters, such as the initial process means of a production process. The joint determination of the initial process means and the production run has been reported in the literature. Most of these studies considered a process with multiple independent nominalthe- better types of quality characteristics. In a real industrial situation, the quality characteristics may depend on each other. In addition, the process could have other types of quality characteristics. In this chapter, a mathematical model is developed that jointly determines the optimum initial process means and production run of a process with multiple dependent smaller-the-better types of quality characteristics. A genetic algorithm is used as an optimization algorithm in this study, whereas local optimization algorithms have commonly been used in preceding studies.
For the entire collection see [Zbl 1149.90002].

MSC:

90B30 Production models
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