Investigating the Effect of Normalization Norms in Flexible Manufacturing Sytem Se- lection Using Multi-Criteria Decision-Making Methods

The main objective of this paper is to assess the effect of different normalization norms within multi-criteria decisionmaking (MADM) models. Three well accepted MCDM tools, namely, preference ranking organization method for enrichment evaluation (PROMETHEE), grey relation analysis (GRA) and technique for order preference by similarity to ideal solution (TOPSIS) methods are applied for solving a flexible manufacturing system (FMS) selection problem in a discrete manufacturing environment. Finally, by the introduction of different normalization norms to the decision algorithms, its effct on the FMS selection problem using these MCDM models are also studied.

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