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

Author

Listed:
  • Anoop Kumar Sahu
  • Saurav Datta
  • Siba Sankar Mahapatra

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.

Suggested Citation

  • Anoop Kumar Sahu & Saurav Datta & Siba Sankar Mahapatra, 2014. "Use of IVFNs and MULTIMOORA method for supply chain performance measurement, benchmarking and decision-making: an empirical study," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 7(2), pages 237-280.
    • Handle: RePEc:ids:ijbexc:v:7:y:2014:i:2:p:237-280
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