 Green supply chain performance evaluation model for automotive manufacturing industries by using eco-balanced scorecardS. Amaladhasan, P. Parthiban and R. Dhanalakshmi International Journal of Services and Operations Management, 2019, vol. 33, issue 4, 442-467 Abstract: This paper presents initial key performance indicators for green supply chain evaluation for automotive companies using eco-balanced scorecard (EBSC). Balanced scorecard consists of four perspectives such as financial, customer, learning and growth, and internal business process, here fifth perspective as an environment is included. Drawing on the five perspectives of an EBSC, this paper first summarised the evaluation indexes synthesised from the literature relating to green supply chain performance. Furthermore, the relative weights of the chosen evaluation indexes were calculated from fuzzy-analytic hierarchy process and further, the two multi-criteria decision making analytical tools of fuzzy-VIKOR and gray relational analysis were respectively adapted to rank the green supply chain performance and improve the gaps with five industries as an empirical example. It shows that the proposed fuzzy-MCDM evaluation model of green supply chain performance using the EBSC framework can be a useful and effective assessment tool. Keywords: green supply chain management; key performance indicators; eco-balanced scorecard; EBSC; fuzzy-VIKOR; grey relational analysis; GRA. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijsoma:v:33:y:2019:i:4:p:442-467 Access Statistics for this article More articles in International Journal of Services and Operations Management from Inderscience Enterprises Ltd |
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