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Fuzzy multi-objective programming for supplier selection and risk modeling: A possibility approach
Authors:Desheng Dash Wu   Yidong Zhang   Dexiang Wu  David L. Olson  
Affiliation:aSchool of Science and Engineering, Reykjavik University, Kringlunni 1, IS-103 Reykjavík, Iceland;bRiskLab, University of Toronto, Toronto, Ontario, Canada M5S 3G8;cDepartment of Industrial & Systems Engineering SUNY, Buffalo, USA;dSchool of Management, University of Science and Technology of China, Hefei Anhui 230026, PR China;eDepartment of Management, University of Nebraska, Lincoln, NE 68588-0491, United States
Abstract:Selection of supply chain partners is an important decision involving multiple criteria and risk factors. This paper proposes a fuzzy multi-objective programming model to decide on supplier selection taking risk factors into consideration. We model a supply chain consisting of three levels and use simulated historical quantitative and qualitative data. We propose a possibility approach to solve the fuzzy multi-objective programming model. Possibility multi-objective programming models are obtained by applying possibility measures of fuzzy events into fuzzy multi-objective programming models. Results indicate when qualitative criteria are considered in supplier selection, the probability of a certain supplier being selected is affected.
Keywords:Supplier selection   Risk   Fuzzy multi-objective programming   Multiple criteria   Chance constraint
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