Title: Green supply chain performance appraisement and benchmarking using fuzzy grey relation method
Authors: Anoop Kumar Sahu; Saurav Datta; Siba Sankar Mahapatra
Addresses: Department of Mechanical Engineering, National Institute of Technology, Rourkela-769008, Odisha, India ' Department of Mechanical Engineering, National Institute of Technology, Rourkela-769008, Odisha, India ' Department of Mechanical Engineering, National Institute of Technology, Rourkela-769008, Odisha, India
Abstract: In the last decades, multi-criterion decision making has also impounded the performance measurement of industries in green extent. In this context, an efficient performance appraisement framework (index system) has been conceptualised from the resource of existing literature in order to appraise and benchmark the candidate industries in green performance extent running under similar green supply chain architecture. In this reporting, on account of the ill-defined criterions and inherent vagueness associated with subjectivity of evaluation indices, the linguistic assessment (evaluated score) of the expert panel have been acquired and fruitfully transformed into generalised triangular fuzzy number (TFN) set. A fuzzy-based computation module embedded with grey relation method (GRM) has been explored from the prospectus of evaluation, appraisal and benchmarking the preferred candidate industries green supply chain performance extent running under similar green indices. Finally, an empirical case study has been led in purpose to checking feasibility of the proposed decision-making approach.
Keywords: green SCM; supply chain management; GSCM; benchmarking; triangular fuzzy numbers; TFN; grey relational analysis; GRA; supply chain performance; multicriteria decision making; MCDM.
International Journal of Business Information Systems, 2015 Vol.20 No.2, pp.157 - 194
Received: 07 May 2014
Accepted: 30 Jun 2014
Published online: 31 Aug 2015 *