MULTI-RESPONSE SURFACE OPTIMIZATION AND MULTI-OBJECTIVE OPTIMIZATION: RELATIONSHIPS AND DIRECTIONS

Kyung Sam Park, Kwang-Jae Kim and Herbert Moskowitz
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Kyung Sam Park: Graduate School of Management, Korea Advanced Institute of Science and Technology, 207-43, Cheongryang, Dongdaemun Seoul 130-012, Korea
Kwang-Jae Kim: Department of Industrial Engineering, Pohang University of Science and Technology, Pohang, Kyungbuk 790-784, Korea
Herbert Moskowitz: Krannert Graduate School of Management, Purdue University, West Lafayette, IN 47907, USA

Chapter 16 in New Frontiers of Decision Making for the Information Technology Era, 2000, pp 289-303 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractA common problem encountered in product or process design is the selection of optimal parameters that involves simultaneous consideration of multiple response characteristics, called a multi-response surface problem. Multi-response surface problems are quite prevalent across various application areas. Notwithstanding the importance of multi-response surface problems in practice, the development of its optimization scheme has scarcely been addressed, mainly due to the lack of a systematic way of resolving conflicts among the response characteristics. In this paper, we note that multi-response surface optimization (MRO) can be viewed as a multi-objective optimization (MOO) and that various techniques developed in MOO can be well utilized to deal with MRO problems. We first discuss what has been done in the MRO area, and then relate this to MOO developments. We also show that the existing MRO approaches are, in fact, special forms of MOO. The application of MOO principles and methodologies to MRO problems provides opportunities and challenges for MRO research and practice.

Keywords: Multiple Criteria; Decision Making; Decision Support Systems; Tradeoff Analysis; System Engineering; Linear Programming (search for similar items in EconPapers)
Date: 2000
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