Developing Integrated Multi-Criteria Decision Making for Green Supplier Selection and Segmentation
VNU Journal of Science: Economics and Business
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Title |
Developing Integrated Multi-Criteria Decision Making for Green Supplier Selection and Segmentation
Developing an Integrated Multi-Criteria Decision Making for Green Supplier Selection and Segmentation |
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Creator |
Dat, Luu Quoc
Phuong, Bui Hong Thu, Nguyen Thi Phan Anh, Tran Thi Lan |
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Description |
Besides raising public awareness of environmental issues and governmental regulations, green supplier selection and segmentation have become strategic issues for companies to gain and retain competitive advantages in the global market. This study proposes a new integrated MCDM model to select and segment green suppliers. The proposed approach combines the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to rank and segment potential green suppliers. The proposed method allows the ratings of alternatives and the importance weights of criteria for green supplier selection and segmentation to be expressed in linguistic values. Finally, a case study is used to illustrate the computational procedure of the proposed approach. Keywords Green supplier selection and segmentation, AHP, TOPSIS References [1] Zadeh L.A, “Fuzzy sets”, Information and Control, 8 (1965), 338-353.[2] Hwang C.L, Yoon K., Multiple Attribute Decision Making-Methods and Applications: A State of the Art Survey, Springer-Verlag, 1981.[3] Chang D., “Applications of the extent analysis method on fuzzy AHP”, European Journal of Operational Research, 95 (1996) 3, 649-655. [4] Zhu Q., Sarkis J., “Relationships between operational practices and performance among early adopters of green supply chain management practices in Chinese manufacturing enterprises”, Journal of Operations Management, 22 (2004), 265-289.[5] Testa F., Iraldo F., “Shadows and lights of GSCM (Green Supply Chain Management): Determinants and effects of these practices based on a multi-national study”, Journal of Cleaner Production, 18 (2010), 953-962.[6] Diabat A., Govindan K., “An analysis of the drivers affecting the implementation of green supply chain management”, Resources, Conservation and Recycling, 55 (2011), 659-667.[7] Lo S.M., “Effects of supply chain position on the motivation and practices of firms going green”, International Journal of Operations & Production Management, 34 (2014) 1, 93-114.[8] Parasuraman A., “Vendor segmentation: An additional level of market segmentation”, Industrial Marketing Management, 9 (1980), 59-62. [9] Day M., Magnan G.M., Moeller M.M., “Evaluating the bases of supplier segmentation: A review and taxonomy”, Industrial Marketing Management, 39 (2010), 625-639. [10] Rezaei J., Ortt R., “Multi-criteria supplier segmentation using a fuzzy preference relation based AHP”, European Journal of Operational Research, 225 (2013), 75-84.[11] Dyer J.H., Cho D.S., Chu W., “Strategic supplier segmentation: The next ‘best practice’ in supply chain management”, California Management Review, 40 (1998), 57-77. Abstract: Due to the challenge of rising public awareness of environmental issues and governmental regulations, green supplier selection and segmentation have become strategic issues for companies to gain and retain competitive advantages in the global market. This study proposes a new integrated MCDM model to select and segment the green suppliers. The proposed approach combines analytic hierarchy process (AHP) most popular method for deriving criteria weights and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) chosen as best recommended method to rank and segment the potential green suppliers. The proposed method allows the ratings of alternatives and the importance weights of criteria for green supplier selection and segmentation to be expressed in linguistic values. Finally, a case study is used to illustrate the computational procedure of the proposed approach. |
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Publisher |
Vietnam National University, Hanoi
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Date |
2017-03-15
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Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
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Format |
application/pdf
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Identifier |
https://js.vnu.edu.vn/EAB/article/view/4047
10.25073/2588-1108/vnueab.4047 |
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Source |
VNU Journal of Science: Economics and Business; Vol 33 No 1
Chuyên san Kinh tế và Kinh doanh; Vol 33 No 1 2588-1108 2615-9287 |
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Language |
eng
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Relation |
https://js.vnu.edu.vn/EAB/article/view/4047/3795
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Rights |
Copyright (c) 2017 VNU Journal of Science: Economics and Business
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