An integrated model for solving problems in green supplier selection and order allocation

被引:197
作者
Lo, Huai-Wei [1 ]
Liou, James J. H. [2 ]
Wang, Her-Shing [2 ]
Tsai, Yi-Song [2 ]
机构
[1] Natl Taipei Univ Technol, Grad Inst Ind & Business Management, Taipei, Taiwan
[2] Natl Taipei Univ Technol, Dept Ind Engn & Management, Taipei, Taiwan
关键词
Green supplier selection; BWM; Modified fuzzy TOPSIS; FMOLP; Order allocation; Procurement strategy; ANALYTIC NETWORK PROCESS; DECISION-MAKING METHOD; ENVIRONMENTAL CRITERIA; PERFORMANCE EVALUATION; PROGRAMMING APPROACH; QUANTITY DISCOUNTS; CHAIN MANAGEMENT; NEURAL-NETWORK; FUZZY APPROACH; MCDM METHODS;
D O I
10.1016/j.jclepro.2018.04.105
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Green purchasing is a critical factor in sustainable enterprise development, and it often affects a company's business performance and environmental protection practices. An enterprise must have an appropriate assessment model to address the complexities of green purchasing. Most green purchasing studies have focused on the use of green criteria in the selection of suppliers to develop sustainable operations. By contrast, there have been few articles on green supply chain management discussing both green supplier evaluation and order allocation. This study proposes a novel model that integrates the best worst method (BWM), modified fuzzy technique for order preference by similarity to ideal solution (TOPSIS), and fuzzy multi-objective linear programming (FMOLP) to solve problems in green supplier selection and order allocation. We demonstrated the proposed method using actual data provided by an electronics company. The results indicate that this model can effectively evaluate the performance of green suppliers and can also optimize order allocation for qualified suppliers. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:339 / 352
页数:14
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