A hybrid fuzzy multiple criteria decision making (MCDM) approach to combination of materials selection

Abstract

The selection of the appropriate combination of materials for a manufacturing company is one of the important points to achieving high competitiveness in the market. Besides, an appropriate choice of materials is very important as it helps to reach optimum production rate and efficiency. Today's market offers many more choices for materials alternatives. There are also many factors one should consider as part of the appropriate combination of materials selection process, including productivity, wastage, cost, style, etc., consequently, evaluation procedures involve several objectives and it is often necessary to compromise among possibly conflicting tangible and intangible factors. For dealing with these problems, multiple criteria decision making (MCDM) has been found to be a useful approach to solve this kind of problem. Most of the MCDM models are basically mathematical and disregard qualitative and subjective considerations. The application of fuzzy set theory allows incorporating the vague and imprecise linguistic terms and qualitative information into the decision process. This paper devises a fuzzy hybrid analytical hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) approach to the problem of thesis subject selection. Fuzzy AHP is used to formulate and calculate the weight of each criterion, and fuzzy TOPSIS is proposed to prioritize combination material alternatives from the best to the worst ones. A case study on Kaach Company was put forward to illustrate the performance of the proposed methodology.

MCDM Review in marketing and managerial decisions: Practical implications and Future research

“…problems with production, location, supply chains, high tech and electricity (Mareschal and Tsaples, 2021;Stoycheva et al, 2018;Fattoruso, 2022;Jacobides et al, 2015;(Ishizaka and Siraj, 2018;Majumder et al, 2019;Cavallo et al, 2019). Some studies were targeted to operational and managerial concerns, such quality evaluations with lean processes Mumani et al, 2022;Yahya et al, 2016;Zeynali et al, 2012). As far as the method of the Analytic Hierarchy Process (AHP) is concerned, we can argue it is more appropriate for the assessment of resources and the performance strategy preparation.…”

Assessment of Urban Mobility via a Pressure-State-Response (PSR) Model with the IVIF-AHP and FCE Methods: A Case Study of Beijing, China

“…Later, interval-valued intuitionistic fuzzy sets (IVIFSs) were coupled with the AHP by defining every single lower and upper bound of the membership, non-membership, and hesitation degree functions, rather than precise numbers, to further adapt to the uncertainty of experts' judgment. The advantage of IVIF-AHP is that it allows for the hierarchical construction of major and sub-indicators and the calculation of their weights [54]. This method has been introduced in the transportation field to evaluate the quality of public transportation services [55], the sustainability of public transportation [56], the selection of corridors for locating autonomous vehicles [57], and the location selection of electric vehicle charging stations [58].…”