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A rough multi-criteria decision-making approach for sustainable supplier selection under vague environment

  • Huiyun Lu
  • , Shaojun Jiang
  • , Wenyan Song*
  • , Xinguo Ming
  • *此作品的通讯作者
  • Beihang University
  • Handan College
  • Shanghai Jiao Tong University

科研成果: 期刊稿件文章同行评审

摘要

With the growing awareness of environmental and social issues, sustainable supply chain management (SSCM) has received considerable attention both in academia and industry. Supplier selection plays an important role in the successful implementation of sustainable supply chain management, because it can influence the performance of SSCM. Sustainable supplier selection is a typical multi-criteria decision-making problem involving subjectivity and vagueness. Although some previous researches of supplier selection use fuzzy approaches to deal with vague information, it has been criticized for requiring much priori information and inflexibility in manipulating vagueness. Moreover, the previous methods often omit the environmental and social evaluation criteria in the supplier selection. To manipulate these problems, a new approach based on the rough set theory and ELECTRE (ELimination Et Choix Traduisant la REalité) is developed in this paper. The novel approach integrates the strength of rough set theory in handling vagueness without much priori information and the merit of ELECTRE in modeling multi-criteria decision-making problem. Finally, a case study of sustainable supplier selection for solar air-conditioner manufacturer is provided to demonstrate the application and potential of the approach.

源语言英语
文章编号2622
期刊Sustainability (Switzerland)
10
8
DOI
出版状态已出版 - 26 7月 2018

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 7 - 经济适用的清洁能源
    可持续发展目标 7 经济适用的清洁能源
  2. 可持续发展目标 12 - 负责任消费和生产
    可持续发展目标 12 负责任消费和生产

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