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An integrated framework of interpretive structural modeling and graph theory matrix approach to fix the agility index of an automobile manufacturing organization

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  • Pravin Kumar

    (Delhi Technological University)

  • Rajesh K. Singh

    (Delhi Technological University)

  • Rakesh Kumar

    (Delhi Technological University)

Abstract

Free trade policies, globalization of the economy, and continuous changes in technology have increased competition among the manufacturers. Identification of customers’ changing needs and its simultaneous fulfillment becomes more important for manufacturers as well as suppliers. The needs for flexible, rapid, cost effective and high quality product development have led to the concept of agile manufacturing. In this paper, some important variables of the agile manufacturing system that leads the agility of the systems have been analyzed and interrelationship has been developed using interpretive structural modeling. Finally, the weightage for the existing relations have been assigned by the executives of the case company. The agility index of the case company has been determined with the help of graph theory matrix approach. This paper may help the manufacturers identify its agility and compare with the agility of competitors’ organizations.

Suggested Citation

  • Pravin Kumar & Rajesh K. Singh & Rakesh Kumar, 2017. "An integrated framework of interpretive structural modeling and graph theory matrix approach to fix the agility index of an automobile manufacturing organization," 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. 8(1), pages 342-352, January.
    • Handle: RePEc:spr:ijsaem:v:8:y:2017:i:1:d:10.1007_s13198-015-0350-x
    DOI: 10.1007/s13198-015-0350-x
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    References listed on IDEAS

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    1. Yusuf, Y. Y. & Sarhadi, M. & Gunasekaran, A., 1999. "Agile manufacturing:: The drivers, concepts and attributes," International Journal of Production Economics, Elsevier, vol. 62(1-2), pages 33-43, May.
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    Cited by:

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    6. Wagner, Stephan M. & Grosse-Ruyken, Pan Theo & Erhun, Feryal, 2018. "Determinants of sourcing flexibility and its impact on performance," International Journal of Production Economics, Elsevier, vol. 205(C), pages 329-341.
    7. Sohrab Abdollahzadeh, 2021. "Sustainable Development of Foodservices under Uncertainty," Sustainability, MDPI, vol. 13(9), pages 1-14, May.
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    9. Yigit Kazancoglu & Muruvvet Deniz Sezer & Melisa Ozbiltekin-Pala & Murat Kucukvar, 2022. "Investigating the role of stakeholder engagement for more resilient vaccine supply chains during COVID-19," Operations Management Research, Springer, vol. 15(1), pages 428-439, June.

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