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Modelling supply chain viability during COVID-19 disruption: A case of an Indian automobile manufacturing supply chain

Author

Listed:
  • Devesh Kumar

    (Malviya National Institute of Technology)

  • Gunjan Soni

    (Malviya National Institute of Technology)

  • Rohit Joshi

    (Indian Institute of Management)

  • Vipul Jain

    (Victoria University of Wellington)

  • Amrik Sohal

    (Monash University)

Abstract

In recent years, supply chains seem to be moving more towards reconfiguring their networks to become more profitable. In the times of COVID-19, where the whole supply chains have been disrupted, suppliers are unable to supply, and manufacturers are unable to manufacture because of lockdowns in the various regions around the world. This pandemic can be compared to past earthquakes and tsunamis, as the coronavirus is also a natural disaster. Due to these past disruptions, organizations have taken many precautions and developed risk mitigation strategies to manage them. Because the COVID-19 outbreak shows the importance of new business perspectives like repurposing a viability strategy, that comes with sustainability and reconfigurability. Where reconfiguration focuses on adaptation, which directly means changes in resources and capabilities and repurposing focuses on a quick response solution to address the shortage. In this paper, a study has been done in two phases to model viability in an automobile supply chain during the COVID-19 times. In the first phase, a hybrid Multi-criteria Decision Making (MCDM) approach is used to get the best criteria and alternatives with sustainability and reconfigurability under consideration. The multi-objective mixed-integer linear programming (MOMILP) model has been developed in the second phase. Suppliers' weight that is obtained will be used to get the optimal order and allocation. This model will help develop supply chain strategies to cope with situations that hinder the firm's competitiveness. A case study of an Indian automobile manufacturer has been taken to show the applicability and effectiveness of the proposed methodology using GAMS/CPLEX solver.

Suggested Citation

  • Devesh Kumar & Gunjan Soni & Rohit Joshi & Vipul Jain & Amrik Sohal, 2022. "Modelling supply chain viability during COVID-19 disruption: A case of an Indian automobile manufacturing supply chain," Operations Management Research, Springer, vol. 15(3), pages 1224-1240, December.
  • Handle: RePEc:spr:opmare:v:15:y:2022:i:3:d:10.1007_s12063-022-00277-5
    DOI: 10.1007/s12063-022-00277-5
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    as
    1. Chan, Felix T.S. & Kumar, Niraj, 2007. "Global supplier development considering risk factors using fuzzy extended AHP-based approach," Omega, Elsevier, vol. 35(4), pages 417-431, August.
    2. Talluri, Srinivas & Baker, R. C., 2002. "A multi-phase mathematical programming approach for effective supply chain design," European Journal of Operational Research, Elsevier, vol. 141(3), pages 544-558, September.
    3. Ivanov, Dmitry & Sokolov, Boris, 2013. "Control and system-theoretic identification of the supply chain dynamics domain for planning, analysis and adaptation of performance under uncertainty," European Journal of Operational Research, Elsevier, vol. 224(2), pages 313-323.
    4. James S. Dyer, 1990. "Remarks on the Analytic Hierarchy Process," Management Science, INFORMS, vol. 36(3), pages 249-258, March.
    5. Kannan, Devika & Jabbour, Ana Beatriz Lopes de Sousa & Jabbour, Charbel José Chiappetta, 2014. "Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS applied to a Brazilian electronics company," European Journal of Operational Research, Elsevier, vol. 233(2), pages 432-447.
    6. Ernest H. Forman & Saul I. Gass, 2001. "The Analytic Hierarchy Process---An Exposition," Operations Research, INFORMS, vol. 49(4), pages 469-486, August.
    7. Antunes, C.Henggeler & Martins, A.Gomes & Brito, Isabel Sofia, 2004. "A multiple objective mixed integer linear programming model for power generation expansion planning," Energy, Elsevier, vol. 29(4), pages 613-627.
    8. Pallab Biswas, 2017. "Modeling reconfigurability in supply chains using total interpretive structural modeling," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 14(2), pages 194-221, May.
    9. Dmitry Ivanov, 2021. "Supply Chain Viability and the COVID-19 pandemic: a conceptual and formal generalisation of four major adaptation strategies," International Journal of Production Research, Taylor & Francis Journals, vol. 59(12), pages 3535-3552, June.
    10. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    11. Scott, James A. & Ho, William & Dey, Prasanta K., 2013. "Strategic sourcing in the UK bioenergy industry," International Journal of Production Economics, Elsevier, vol. 146(2), pages 478-490.
    12. Bene, C. & Doyen, L. & Gabay, D., 2001. "A viability analysis for a bio-economic model," Ecological Economics, Elsevier, vol. 36(3), pages 385-396, March.
    13. V. Krishnan & Karl T. Ulrich, 2001. "Product Development Decisions: A Review of the Literature," Management Science, INFORMS, vol. 47(1), pages 1-21, January.
    14. Chen, Chen-Tung & Lin, Ching-Torng & Huang, Sue-Fn, 2006. "A fuzzy approach for supplier evaluation and selection in supply chain management," International Journal of Production Economics, Elsevier, vol. 102(2), pages 289-301, August.
    15. S Yahya & B Kingsman, 1999. "Vendor rating for an entrepreneur development programme: a case study using the analytic hierarchy process method," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(9), pages 916-930, September.
    16. Osman, Hany & Demirli, Kudret, 2010. "A bilinear goal programming model and a modified Benders decomposition algorithm for supply chain reconfiguration and supplier selection," International Journal of Production Economics, Elsevier, vol. 124(1), pages 97-105, March.
    17. Navin K. Dev & Ravi Shankar & Angappa Gunasekaran & Lakshman S. Thakur, 2016. "A hybrid adaptive decision system for supply chain reconfiguration," International Journal of Production Research, Taylor & Francis Journals, vol. 54(23), pages 7100-7114, December.
    18. Bernard Roy, 2005. "Paradigms and Challenges," International Series in Operations Research & Management Science, in: Multiple Criteria Decision Analysis: State of the Art Surveys, chapter 0, pages 3-24, Springer.
    19. Kheybari, Siamak & Rezaie, Fariba Mahdi & Farazmand, Hadis, 2020. "Analytic network process: An overview of applications," Applied Mathematics and Computation, Elsevier, vol. 367(C).
    20. Ross, Anthony D., 2000. "A two-phased approach to the supply network reconfiguration problem," European Journal of Operational Research, Elsevier, vol. 122(1), pages 18-30, April.
    21. James S. Dyer, 1990. "A Clarification of "Remarks on the Analytic Hierarchy Process"," Management Science, INFORMS, vol. 36(3), pages 274-275, March.
    22. Breandán Ó HUallacháin & David Wasserman, 1999. "Vertical Integration in a Lean Supply Chain: Brazilian Automobile Component Parts," Economic Geography, Taylor & Francis Journals, vol. 75(1), pages 21-42, January.
    23. Awasthi, Anjali & Govindan, Kannan & Gold, Stefan, 2018. "Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach," International Journal of Production Economics, Elsevier, vol. 195(C), pages 106-117.
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