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A multi-objective model for risk mitigating in supply chain design

Author

Listed:
  • Vahid Nooraie
  • Mahdi Fathi
  • Masoud Narenji
  • Mahour M. Parast
  • Panagote M. Pardalos
  • P. M. Stanfield

Abstract

The goal of this study is to recognise various factors for responsive SCs that affect supply risk and model their impact on SC design and operation. We propose a conceptual model for SC responsiveness that encompasses practices such as flexibility, agility, internal integration, and visibility. This conceptual model is utilised to build up a multi-objective, multi-period SC design and operation model. A heuristic algorithm is developed to find the supplier, product, period, and production rate for the numerical problem. The improved genetic algorithm (GA) produces solutions with more accuracy in considerably less time than a traditional GA. Finally, an approach to prioritise the objective functions is developed that allows managers to focus on specific objective functions more than optimum values. This approach provides risk-averse, responsiveness-oriented, cost-effective managers the capability to set priorities based on their policies.

Suggested Citation

  • Vahid Nooraie & Mahdi Fathi & Masoud Narenji & Mahour M. Parast & Panagote M. Pardalos & P. M. Stanfield, 2020. "A multi-objective model for risk mitigating in supply chain design," International Journal of Production Research, Taylor & Francis Journals, vol. 58(5), pages 1338-1361, March.
    • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:5:p:1338-1361
    DOI: 10.1080/00207543.2019.1633024
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    Cited by:

    1. Nishat Alam Choudhary & Shalabh Singh & Tobias Schoenherr & M. Ramkumar, 2023. "Risk assessment in supply chains: a state-of-the-art review of methodologies and their applications," Annals of Operations Research, Springer, vol. 322(2), pages 565-607, March.
    2. Lipika Bhattacharya & Ayan Chatterjee & Debmallya Chatterjee, 2023. "Critical Enablers that Mitigate Supply Chain Disruption: A Perspective from Indian MSMEs," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 48(1), pages 42-63, February.

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