TY - JOUR ID - 49662 TI - A New Method for Solving Fully Fuzzy Multi Objective Supplier Selection Problem JO - International Journal of Research in Industrial Engineering JA - RIEJ LA - en SN - 2783-1337 AU - Nasseri, H. AU - Morteznia, M. AU - Mirmohseni, M. AD - Department of Mathematics, University of Mazandaran, Babolsar, Iran AD - School of Mathematics and Information Science, Key Laboratory of Mathematics and Interdisciplinary Sciences of Guangdong Higher Education Institutes, Guangzhou University, Guangzhou 510006, China. Y1 - 2017 PY - 2017 VL - 6 IS - 3 SP - 214 EP - 227 KW - Supplier selection KW - fuzzy mcdm KW - fully fuzzy mixed integer linear programming problem KW - quantity discount KW - weighted additive KW - Supply chain DO - 10.22105/riej.2017.91532.1000 N2 - Supplier selection is one of the most critical activities of purchasing management in a supply chain. Because selecting right suppliers helps reduce purchasing costs, improve quality of final products and services, etc. In a real situation, for a supplier selection problem, most of the input information is not known precisely, since decision making deal with human judgment and comprehension and its nature includes ambiguity. In fact, on the one hand, deterministic models cannot easily take this vagueness into account. In these cases, the theory of fuzzy sets is one of the best tools to handle uncertainty. On the other hand, Kumar et al. proposed a new approach to find the fuzzy optimal solution of fully fuzzy linear programming problem. So, using this approach in this paper, we present a new mixed integer multi objective linear programming model for supplier selection problem. Due to uncertainty of the data, in continuation, we present a new method to solve multi objective fully fuzzy mixed integer linear programming and implement the method to supplier selection problem. Computational results present the application of the method and the proposal solving method. UR - https://www.riejournal.com/article_49662.html L1 - https://www.riejournal.com/article_49662_32f2d81f7ac46ef016f368b69ce86885.pdf ER -