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Evaluating key performance indicators of leagile manufacturing using fuzzy TISM approach

Author

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  • Naveen Virmani

    (YMCAUST)

  • Rajeev Saha

    (YMCAUST)

  • Rajeshwar Sahai

    (Rattan College)

Abstract

Leagile manufacturing strategy has emerged as one of the important strategy adopted by most of manufacturing organizations now a days. It has advantages of both lean as well as agile manufacturing system. Lean manufacturing tries to eliminate all different types of wastages like overproduction, inventory, unnecessary motion etc., while agile manufacturing focus on changing the production system as per the requirements of the customer and provide customized products within short span of time. Lean manufacturing focuses on no inventory and try to implement Just in Time methodology but for the system to be agile, there should be at least some inventory in store so that production can be started as soon as customer order is achieved. In this paper, key performance indicators (KPI) of leagile manufacturing are found by literature review and in consultation of experts and academicians working in the concerned field. Fuzzy TISM approach has been applied to find levels of different KPI’S. MICMAC analysis has been made to analyze the KPI’S and categorize them as autonomous, dependent, linkage, independent etc. on the basis of driving and dependence power. Finally, digraph is drawn to show relationship between various KPI’s.

Suggested Citation

  • Naveen Virmani & Rajeev Saha & Rajeshwar Sahai, 2018. "Evaluating key performance indicators of leagile manufacturing using fuzzy TISM approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(2), pages 427-439, April.
    • Handle: RePEc:spr:ijsaem:v:9:y:2018:i:2:d:10.1007_s13198-017-0687-4
    DOI: 10.1007/s13198-017-0687-4
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    References listed on IDEAS

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    1. Trkman, Peter & McCormack, Kevin, 2009. "Supply chain risk in turbulent environments--A conceptual model for managing supply chain network risk," International Journal of Production Economics, Elsevier, vol. 119(2), pages 247-258, June.
    2. Yang, Ma Ga (Mark) & Hong, Paul & Modi, Sachin B., 2011. "Impact of lean manufacturing and environmental management on business performance: An empirical study of manufacturing firms," International Journal of Production Economics, Elsevier, vol. 129(2), pages 251-261, February.
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    Cited by:

    1. Majid Heidari & Masoud Rabbani, 2023. "Leagile sustainable supply chain network design considering disruption risk by C-Var approach: a case study," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(3), pages 1062-1088, June.

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