Title: Use of IVFNs and MULTIMOORA method for supply chain performance measurement, benchmarking and decision-making: an empirical study

Authors: Anoop Kumar Sahu; Saurav Datta; Siba Sankar Mahapatra

Addresses: Department of Mechanical Engineering, National Institute of Technology, Rourkela-769008, India ' Department of Mechanical Engineering, National Institute of Technology, Rourkela-769008, India ' Department of Mechanical Engineering, National Institute of Technology, Rourkela-769008, India

Abstract: In today's competitive global marketplace, supply chain management (SCM) has become a key strategic consideration for achieving the organisational goals. The performance measurement of the entire supply chain is an important issue because it allows for tracking of efficacy and efficiency failures and leads to more informed decision-making with regard to chain design. Performance measurement is important as it affects behaviour that impacts supply chain performance. As such, performance measurement provides the means by which a company can assess whether its supply chain has improved or degraded. To this end, the present research aims to develop an efficient evaluation framework for selecting the best supply chain performance alternative from available alternatives. In this study, a fuzzy multi-criteria decision-making (FMADM) combined with multi-objective optimisation by ratio analysis (MULTIMOORA) has been explored towards appraisement and selection of the best supply chain in accordance with performance.

Keywords: supply chain management; SCM; fuzzy MCDM; multicriteria decision making; FMCDM; multi-objective optimisation by ratio analysis; MULTIMOORA; performance measurement; supply chain performance.

DOI: 10.1504/IJBEX.2014.059572

International Journal of Business Excellence, 2014 Vol.7 No.2, pp.237 - 280

Published online: 07 Jun 2014 *

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