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Supply chain risk inter-relationships and mitigation in Indian scenario: an ISM-AHP integrated approach

Author

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  • C.R. Vishnu
  • R. Sridharan
  • P.N. Ram Kumar

Abstract

Supply chain risk management analyses and controls both internal and external supply chain risks through coordination/collaboration of supply chain partners to ensure profitability and business continuity. Be it internal or external, successful mitigation of these risks has always been a serious concern in the pursuit of customer satisfaction. The impact potential of these supply chain risk factors varies significantly as a result of their inter-relationships which further decide the selection of mitigation strategies. In this paper, we investigate the interdependence among the various supply chain risk factors that are prevalent in the Indian context by developing an interpretive structural model (ISM). Unlike a generic ISM, the proposed model incorporates the strength of the inter-relationships by deploying colour codes and a differential rating scale. Furthermore, we propose a group decision-making framework based on analytic hierarchy process for the prioritisation and selection of appropriate mitigation strategies. Finally, a case study is also presented to illustrate the proposed framework.

Suggested Citation

  • C.R. Vishnu & R. Sridharan & P.N. Ram Kumar, 2019. "Supply chain risk inter-relationships and mitigation in Indian scenario: an ISM-AHP integrated approach," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 32(3/4), pages 548-578.
    • Handle: RePEc:ids:ijlsma:v:32:y:2019:i:3/4:p:548-578
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    Cited by:

    1. Rudiah Md Hanafiah & Nur Hazwani Karim & Noorul Shaiful Fitri Abdul Rahman & Saharuddin Abdul Hamid & Ahmed Maher Mohammed, 2022. "An Innovative Risk Matrix Model for Warehousing Productivity Performance," Sustainability, MDPI, vol. 14(7), pages 1-21, March.
    2. C. R. Vishnu & E. N. Anilkumar & R. Sridharan & P. N. Ram Kumar, 2023. "Statistical characterization of managerial risk factors: a case of state-run hospitals in India," OPSEARCH, Springer;Operational Research Society of India, vol. 60(2), pages 812-834, June.
    3. Madjid Tavana & Akram Shaabani & Francisco Javier Santos-Arteaga & Iman Raeesi Vanani, 2020. "A Review of Uncertain Decision-Making Methods in Energy Management Using Text Mining and Data Analytics," Energies, MDPI, vol. 13(15), pages 1-23, August.

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