Multiple Response Surface Optimization Considering the Decision Maker’s Preference Information

Abstract:

Most of the studies in Response Surface Methodology commonly involve one response or quality characteristics, whereas in most industrial applications considering all responses simultaneously is required. Multiple Response Surface (MRS) Optimization Problems often deal with responses that are conflicting. In dealing with incommensurate responses, incorporating a decision maker’s preference information into the problem has lots of advantages although a few researches in MRS literature have taken this into attention. The purpose of this paper is to take a detailed look at the most prominent approaches that has been suggested so far in MRS, and also to review and discuss the classifications with a special focus on the decision maker’s preference information. In today’s competitive market satisfying the customer is of high importance. The DM can be a customer and reaching a compromise with an interactive method would help the firm to succeed in having loyal customers. A case study is applied to show that interactive method with existing MRS approach leads to better results.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 1646-1652
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.1646
• Online since: January 2012
• Authors: Amineh Zadbood, Kazem Noghondarian
• Keywords: Decision Maker, Design of Experiment (DOE), Multiple Response Surface Optimization, Response Surface Method (RSM)

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