Supplier selection with an integrated methodology in unknown environment |
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| Authors: | Selin Soner Kara |
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| Affiliation: | 1. School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran;2. Department of Business Information Technology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061-0235, United States;3. Brunel Business School, Brunel University London, UK;1. Department of Mechanical & Manufacturing Engineering, Aalborg University, DK-2450 Copenhagen, Denmark;2. Faculty of Management and Accounting, Allame Tabatabaei University Business School (ATUBS), Tehran, Iran;3. Engineering Systems & Management, Masdar Institute of Science and Technology, Abu Dhabi, United Arab Emirates;1. Department of Logistics Management, School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China;2. Department of Management Science and Engineering, School of Economics and Management, Tsinghua University, Beijing 100084, China |
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| Abstract: | This paper proposes an integrated methodology and its solution for supplier selection problem. A two-stage stochastic programming model and fuzzy TOPSIS methods are consolidated in this methodology. After pre-research phase, in the second part of the methodology, fuzzy TOPSIS is used for ranking potential suppliers considering qualitative data under fuzzy environment. In the third part of the methodology a group of ranked potential suppliers are included in a two-stage stochastic programming model for evaluation. In the two-stage stochastic programming model demand is assumed as uncertain and different scenarios are generated for this parameter. With this methodology, supplier evaluation procedure can be done in unknown environment. Our methodology is interested with a problem in multi-product, multi-period and multi-sourcing environment. |
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