Intelligent Multi Criteria Decision Making Methods for Material Selection in Sugar Industry

Abstract The best material selection for a given application involves numbers of criteria of conflicting nature to be considered. Material that has the properties that provide the necessary service performance must be selected from the range of suitable alternative materials for manufacturing of structural parts. A poorly chosen material can add to manufacturing cost and unnecessarily increase the cost of the part. Also, the properties of the part may be changed by processing, and that may affect the service performance of the part. These conditions lead to introduce some intelligent, systematic as well as logical method to choose best alternative material for the end product. The purpose of this paper is to disclose the application of four intelligent Multi Criteria Decision Making methods for solving material selection of pipes in sugar industry. Extended TODIM, ARAS, OCRA, EVAMIX are the methods used for the best material selection from five alternative materials.

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