Implementation and performance evaluation of a firm's green supply chain management under uncertainty

• Main Authors: Lin, Yuanhsu, Tseng, Ming Lang, Chiu, Anthony S.F., Wang, Ray
• Format: text
• Published: Animo Repository 2014
• Subjects: Industrial ecology; Balanced scorecard (Management); Multiple criteria decision making; Structural frames—Models; Industrial Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1680; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2679/type/native/viewcontent
• Institution: De La Salle University

Evaluation of the implementation and performance of a firm's green supply chain management (GSCM) is an on-going process. Balanced scorecard is a multi-criteria evaluation concept that highlights implementation and performance measures. The literature on the framework is abundant literature but scarce on how to build a hierarchical framework under uncertainty with dependence relations. Hence, this study proposes a hybrid approach, which includes applied interpretive structural modeling to build a hierarchical structure and uses the analytic network process to analyze the dependence relations. Additionally, this study applies the fuzzy set theory to determine linguistic preferences. Twenty dependence criteria are evaluated for a GSCM implemented firm in Taiwan. The result shows that the financial aspect and life cycle assessment are the most important performance and weighted criteria. © 2014 KIIE.