| Title |
An integrated model for solving problems in green supplier selection and order allocation |
| ID_Doc |
73728 |
| Authors |
Lo, HW; Liou, JJH; Wang, HS; Tsai, YS |
| Title |
An integrated model for solving problems in green supplier selection and order allocation |
| Year |
2018 |
| Published |
|
| DOI |
10.1016/j.jclepro.2018.04.105 |
| Abstract |
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. |
| Author Keywords |
Green supplier selection; BWM; Modified fuzzy TOPSIS; FMOLP; Order allocation; Procurement strategy |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000433650600030 |
| WoS Category |
Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences |
| Research Area |
Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology |
| PDF |
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