Evaluation of performance metrics of leagile supply chain through fuzzy MCDM


D. Venkata Ramana, K.Narayana Rao and J. Suresh Kumar


Leagile supply chain management has emerged as a proactive approach for improving business value of companies. The companies that face volatile and unpredictable market demand of their products must pioneer in leagile supply chain strategy for competition and various demands of customers. There are literally many approaches for performance metrics of supply chain in general, yet little investigation has identified the reliability and validity of such approaches particularly in leagile supply chains. This study examines the consistency approaches by confirmatory factor analysis that determines the adoption of performance dimensions. The prioritization of performance enablers under these dimensions of leagile supply chain in small and medium enterprises are determined through fuzzy logarithmic least square method (LLSM). The study developed a generic hierarchy model for decision-makers who can prioritize the supply chain metrics under performance dimensions of leagile supply chain.


DOI: j.dsl.2013.03.003

Keywords: Leagile supply chain ,Confirmatory factor analysis Triangle fuzzy weights

How to cite this paper:

Ramana, D., Rao, K & Kumar, J. (2013). Evaluation of performance metrics of leagile supply chain through fuzzy MCDM.Decision Science Letters, 2(3), 211-222.


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