A hierarchical fuzzy TOPSIS approach to assess improvement areas when implementing green supply chain initiatives

被引:96
作者
Wang, Xiaojun [1 ]
Chan, Hing Kai [2 ]
机构
[1] Univ Bristol, Dept Management, Bristol BS8 1TN, Avon, England
[2] Univ E Anglia, Norwich Business Sch, Norwich NR4 7TJ, Norfolk, England
关键词
green initiative; green supply chain management; fuzzy set theory; TOPSIS; AHP; GROUP DECISION-MAKING; PERFORMANCE-MEASUREMENT; MANAGEMENT-PRACTICES; AHP MODEL; SELECTION; QUALITY; DESIGN; SYSTEM; DEA;
D O I
10.1080/00207543.2012.754553
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Implementing green supply chain management (GSCM) initiatives can generate more business opportunities for firms. It also requires changes in firms' operational capabilities and resources that may have an adverse effect on firms' operations performance. In order to achieve sustainable economic and environmental performance, it is essential for companies to evaluate different green initiatives and assess improvement areas when implementing green initiatives. This study proposes a fuzzy hierarchical TOPSIS approach to support such an assessment. It enables decision makers to better understand the complete evaluation process and provide a more accurate, effective and systematic decision support tool. An illustrative case is presented to help researchers and practitioners understand the importance of developing an appropriate organisation strategy in implementing green practices.
引用
收藏
页码:3117 / 3130
页数:14
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