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Journal article
Research on Sustainable Supplier Selection Based on the Rough DEMATEL and FVIKOR Methods
Sustainability (Basel, Switzerland), v 13(1)
01 Jan 2021
Abstract
In competitive global markets, sustainable suppliers are critical success factors for sustainable supply chain operations. Sustainable supplier selection must be based on a complex network of numerous indicators and experts' fuzzy linguistic terms. Considering the correlation between the evaluation criteria and the ambiguity of the criteria values, this paper proposes combining the rough DEMATEL method and the fuzzy VIKOR (FVIKOR) method to solve sustainable supplier selection problem. We determine 15 sustainable supplier evaluation criteria from economic, environmental and social dimensions. We also apply the rough DEMATEL method to determine the weight of evaluation indicators that are interrelated or even conflicting and use the FVIKOR method to determine supplier rankings by converting the fuzzy linguistic terms into precise information. The practicability of the proposed method is verified by an example of sustainable supplier selection.
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Details
- Title
- Research on Sustainable Supplier Selection Based on the Rough DEMATEL and FVIKOR Methods
- Creators
- Jing Zhang - Hebei University of TechnologyDong Yang - Hebei University of TechnologyQiang Li - Hebei University of TechnologyBenjamin Lev - Drexel University, Bennett S. LeBow College of BusinessYanfang Ma - Hebei University of Technology
- Publication Details
- Sustainability (Basel, Switzerland), v 13(1)
- Publisher
- Mdpi
- Number of pages
- 20
- Grant note
- G2020202008 / Hebei Natural Science Foundation; Natural Science Foundation of Hebei Province BJ2017064 / Hebei Provincial Higher Education Humanities and Social Sciences Young Top Talent Project 18BGL012 / National Social Science Foundation of China
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:000606407400001
- Scopus ID
- 2-s2.0-85098617312
- Other Identifier
- 991019169915204721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Environmental Sciences
- Environmental Studies
- Green & Sustainable Science & Technology