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  • 标题:Supplier evaluation and selection for sustainable supply chain management under uncertainty conditions
  • 本地全文:下载
  • 作者:Ehsan KhanMohammadi ; HamidReza Talaie ; Hossein Safari
  • 期刊名称:International Journal of Sustainable Engineering
  • 印刷版ISSN:1939-7038
  • 出版年度:2018
  • 卷号:11
  • 期号:6
  • 页码:382-396
  • DOI:10.1080/19397038.2017.1421277
  • 语种:English
  • 出版社:Taylor & Francis Group
  • 摘要:AbstractWith the global increasing importance of sustainable development, sustainable supply chain has gained value among both researchers and industrialists in the last decade. Nowadays, industries are facing pressure from government legislation and the global competition in addition to the pressure from their clients to carry out environmentally – conscious actions. Thus, organisations are required to implement actions to enhance their level of both environmental and economic performances. Traditionally, organisations use criteria such as cost, quality and on-time delivery to evaluate their suppliers’ performance. Although there have been numerous studies on the common criteria for these assessments, very few studies have taken sustainable criteria into consideration. Thereupon, this study tries to put forward a complete model for selection and evaluation of the suppliers, considering three criteria for sustainability, thus using the fuzzy group graph theory and matrix approach. It is an innovative approach based on fuzzy logic and group decision-making, which aims to treat lack of certainty in selection and evaluation of suppliers. We will also discuss a case study in the industry to demonstrate the effectiveness of our proposed approach.
  • 关键词:KeywordsSustainable supply chain management (SSCM)sustainabilitysupplier selectionfuzzy group graph theory and matrix approach (FGGTMA)fuzzy theory
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