A Robust Posterior Method to Multiresponse Optimization Using the VIKOR Method

Abstract:

Setting of process variables to meet a required specification of quality characteristic (or response variable) in a process is one of common problems in the process quality control. But generally there are more than one quality characteristics in the process. In these situations, to obtain a satisfactory compromise in such a case, a decision maker (DM)’s preference information about the tradeoffs among the responses should be considered. In some cases, it is difficult for a DM to express an explicit approximation of the preference function. Therefore it can be effective to allow the decision maker to choose from a set of solutions. To this end, an algorithm is used to determine a representation of the nondominated solutions set. Such methods incorporate a posterior articulation of preferences. This paper proposes a posterior method based on taguchi’s signal-to-noise (S/N) ratios to facilitate the preference articulation process and incorporate both systematic and random deviations from target in a single criterion. Finally, the VIKOR method is used to extract of optimal compromise solution that leads to minimum variation in relative deviations of responses.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 3060-3065
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.3060
• Online since: January 2012
• Authors: Reza Baradaran Kazemzadeh, Mohammad Reza Amin Naseri, Ali Salmasnia
• Keywords: Component, Multiresponse Optimization, Nondominated Solution, Taguchi Method, VIKOR

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