Title: Green supply chain performance evaluation model for automotive manufacturing industries by using eco-balanced scorecard
Authors: S. Amaladhasan; P. Parthiban; R. Dhanalakshmi
Addresses: Department of Production Engineering, National Institute of Technology, Tiruchirappalli-620015, India ' Department of Production Engineering, National Institute of Technology, Tiruchirappalli-620015, India ' Department of Computer Science and Engineering, National Institute of Technology Nagaland, Dimapur – 797103, India
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.
International Journal of Services and Operations Management, 2019 Vol.33 No.4, pp.442 - 467
Received: 31 Aug 2016
Accepted: 11 Jun 2017
Published online: 13 Aug 2019 *