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A Novel Two-Stage Integrated Model for Supplier Selection of Green Fresh Product

Aijun Liu (), Yaxuan Xiao (), Xiaohui Ji (), Kai Wang (), Sang-Bing Tsai (), Hui Lu (), Jinshi Cheng (), Xinjun Lai () and Jiangtao Wang ()
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Aijun Liu: Department of Management Engineering, School of Economics & Management, Xidian University, Xi’an 710071, China
Yaxuan Xiao: Department of Management Engineering, School of Economics & Management, Xidian University, Xi’an 710071, China
Xiaohui Ji: Department of Management Engineering, School of Economics & Management, Xidian University, Xi’an 710071, China
Kai Wang: College of Business Administration, Capital University of Economics and Business, Beijing 100070, China
Sang-Bing Tsai: College of Business Administration, Capital University of Economics and Business, Beijing 100070, China
Hui Lu: Tianhua College, Shanghai Normal University, Shanghai 201815, China
Jinshi Cheng: School of Management Engineering, Anhui Polytechnic University, Wuhu 241000, China
Xinjun Lai: School of Electro-Mechanical Engineering, Guangdong University of Technology, Guangzhou 510006, China
Jiangtao Wang: Zhongshan Institute, University of Electronic Science and Technology, Zhongshan 528400, China

Sustainability, 2018, vol. 10, issue 7, 1-23

Abstract: The selection of fresh product suppliers is a multi-criteria decision making (MCDM) problem with great significant and application value. This requires trade-offs between multiple criteria to prove its ambiguity and uncertainty. Therefore, a novel two-stage fuzzy integrated MCDM method to select suitable suppliers is employed. In the first stage, two collective relationship matrixes are constructed by quality function development (QFD), and relationships among customer requirements (CRs), company strategies (CSs) as well as selection criteria are considered separately in the two matrixes. Subjective criteria weights are obtained by fuzzy best-worst method (BWM) appropriately. In the second stage, the objective criteria weights are obtained using Shannon’s entropy method, and the fuzzy multi-objective optimization by ratio analysis plus the full multiplicative form (MULTIMOORA) is applied to rank suppliers. Finally, an application case is applied to prove the feasibility of the proposed method. These conclusions can help companies improve their CSs and increase their market competitiveness.

Keywords: green supplier selection; trapezoidal fuzzy numbers (TrFNs); best-worst method (BWM); Shannon entropy; green product; green supplier (search for similar items in EconPapers)
JEL-codes: Q Q0 Q2 Q3 Q5 Q56 O13 (search for similar items in EconPapers)
Date: 2018
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