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Title: Using DEA to optimize a mixture design with multiple responses incorporating cost considerations
Authors: Tsai, Chih-Wei
Tong, Lee-Ing
Wang, Chung-Ho
Keywords: Cost
Data envelopment analysis
Mixture design
Multiple responses
Issue Date: Jul-2008
Publisher: CSIR
Abstract: Mixture design (MD), which is commonly adopted in chemical-manufacturing, food-processing or pharmaceutical industry, is more suitable than other design of experiment methods when component proportion is a crucial influence on product quality. This study develops an optimization procedure, which utilizes Data envelopment analysis to analyze multiple inputs/ outputs and costs for experiments with mixtures. Proposed procedure can optimize MD with multiple responses while maintaining low manufacturing costs, and thus enhance manufacturer competitive advantage. As demonstrated in the case of formulation design for automobile rubber bowls, proposed procedure optimizes experiments with mixtures while minimizing costs.
Page(s): 479-485
ISSN: 0022-4456
Source: JSIR Vol.67(07) [July 2008]

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