Malzeme Seçimi için Hibrit Çok Kriterli Karar Yöntemi

Abstract

Material selection is crucial in product design. The appropriate material selection for a specific product is an essential task for engineers. The triggering reasons for the appropriate material selection are often to minimize cost and improve performance. However, depending on the area where the material is used, the scope and importance of the attributes vary. The availability of numerous materials with various features complicate the material selection process. In this regard, to choose the best alternative material for a particular application, an efficient, systematic approach to material selection is required. In this study, a hybrid multicriteria decision approach is proposed for material selection. The importance of attributes (weight) is determined through the standard deviation and criteria importance through intercriteria correlation methods. Considering the fact that the outcome of multiple attribute decision-making (MADM) methods is dependent on the weights of the criteria, the objective weighting methods are preferred to avoid subjective assessments. The ranking of alternative materials is achieved through grey relational analysis, technique for order performance by similarity to ideal solution, and organization rangement et synthese de donnes relationnelles (ORESTE). The main reason for utilizing several MADM methods is the fact that any of them does not guarantee the right choice. Therefore, the ranks provided six models are integrated via the Copeland method to reveal a final consensus ranking. The weighting methods' results indicate that the weight of an attribute can be the highest and lowest depending on what weighting method is preferred. The result of the Copeland method reveals that the final consensus rank of materials can be different from the rank of the models. Thus, considering and integrating of multiple models is essential.