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A bi-criteria indicator to assess supply chain network performance for critical needs under capacity and demand disruptions

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  • Qiang, Patrick
  • Nagurney, Anna

Abstract

In this paper, we develop a supply chain/logistics network model for critical needs in the case of disruptions. The objective is to minimize the total network costs, which are generalized costs that may include the monetary, risk, time, and social costs. The model assumes that disruptions may have an impact on both the network link capacities as well as on the product demands. Two different cases of disruption scenarios are considered. In the first case, we assume that the impacts of the disruptions are mild and that the demands can be met. In the second case, the demands cannot all be satisfied. For these two cases, we propose two individual performance indicators. We then construct a bi-criteria indicator to assess the supply chain network performance for critical needs. An algorithm is described which is applied to solve a spectrum of numerical examples in order to illustrate the new concepts.

Suggested Citation

  • Qiang, Patrick & Nagurney, Anna, 2012. "A bi-criteria indicator to assess supply chain network performance for critical needs under capacity and demand disruptions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(5), pages 801-812.
    • Handle: RePEc:eee:transa:v:46:y:2012:i:5:p:801-812
    DOI: 10.1016/j.tra.2012.02.006
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    References listed on IDEAS

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    Cited by:

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    2. Baroud, Hiba & Barker, Kash & Ramirez-Marquez, Jose E. & Rocco S., Claudio M., 2014. "Importance measures for inland waterway network resilience," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 62(C), pages 55-67.
    3. Bethlehem Tamiru Gizaw & Alev Taskin Gumus, 2016. "Humanitarian Relief Supply Chain Performance Evaluation: A Literature Review," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 8(2), pages 105-120, April.
    4. Reggiani, Aura & Nijkamp, Peter & Lanzi, Diego, 2015. "Transport resilience and vulnerability: The role of connectivity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 81(C), pages 4-15.
    5. Abhishek Behl & Pankaj Dutta, 2019. "Humanitarian supply chain management: a thematic literature review and future directions of research," Annals of Operations Research, Springer, vol. 283(1), pages 1001-1044, December.
    6. Pramanik, Sutapa & Jana, Dipak Kumar & Maiti, Manoranjan, 2016. "Bi-criteria solid transportation problem with substitutable and damageable items in disaster response operations on fuzzy rough environment," Socio-Economic Planning Sciences, Elsevier, vol. 55(C), pages 1-13.
    7. Nagurney, Anna, 2021. "Optimization of supply chain networks with inclusion of labor: Applications to COVID-19 pandemic disruptions," International Journal of Production Economics, Elsevier, vol. 235(C).
    8. Dong Li & Anna Nagurney, 2017. "Supply chain performance assessment and supplier and component importance identification in a general competitive multitiered supply chain network model," Journal of Global Optimization, Springer, vol. 67(1), pages 223-250, January.

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