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A multi-cut L-shaped method for resilient and responsive supply chain network design

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  • Fatemeh Sabouhi
  • Mohammad Saeed Jabalameli
  • Armin Jabbarzadeh
  • Behnam Fahimnia

Abstract

We present a stochastic optimisation model that can be used to design a resilient supply chain operating under random disruptions. The model aims to determine sourcing and network design decisions that minimise the expected total cost while ensuring that the minimum customer service level is achieved. The proposed model incorporates several resilience strategies including multiple sourcing, multiple transport routes, considering backup suppliers, adding extra production capacities, as well as lateral transshipment and direct shipment. A multi-cut L-shaped solution approach is developed to solve the proposed model. Data from a real case problem in the paint industry is utilised to test the model and solution approach. Important managerial insights are obtained from the case study. Our analyses focus on (1) exploring the relationship between supply chain cost and customer service level, (2) examining the impacts of different types of disruptions on the total cost, (3) evaluating the utility of resilience strategies, (4) investigating the benefits of the proposed solution approach to solve problems of different sizes and (5) benchmarking the performance of the proposed stochastic programming approach.

Suggested Citation

  • Fatemeh Sabouhi & Mohammad Saeed Jabalameli & Armin Jabbarzadeh & Behnam Fahimnia, 2020. "A multi-cut L-shaped method for resilient and responsive supply chain network design," International Journal of Production Research, Taylor & Francis Journals, vol. 58(24), pages 7353-7381, December.
    • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:24:p:7353-7381
    DOI: 10.1080/00207543.2020.1779369
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    Cited by:

    1. Nayeri, Sina & Sazvar, Zeinab & Heydari, Jafar, 2022. "A global-responsive supply chain considering sustainability and resiliency: Application in the medical devices industry," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    2. Mahsa Taherifar & Negin Hasani & Mahsa Zokaee & Amir Aghsami & Fariborz Jolai, 2024. "A scenario-based sustainable dual-channel closed-loop supply chain design with pickup and delivery considering social conditions in a natural disaster under uncertainty: a real-life case study," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(8), pages 19443-19490, August.
    3. Aldrighetti, Riccardo & Battini, Daria & Ivanov, Dmitry, 2023. "Efficient resilience portfolio design in the supply chain with consideration of preparedness and recovery investments," Omega, Elsevier, vol. 117(C).
    4. Eva Selene Hernández Gress & Neil Hernández-Gress & Karen Sujo Contla, 2021. "Methodology for Designing Humanitarian Supply Chains: Distribution of COVID-19 Vaccines in Mexico," Administrative Sciences, MDPI, vol. 11(4), pages 1-21, November.
    5. Hanieh Shekarabi & Mohammad Mahdi Vali-Siar & Ashkan Mozdgir, 2024. "Food supply chain network design under uncertainty and pandemic disruption," Operational Research, Springer, vol. 24(2), pages 1-37, June.
    6. Jahani, Hamed & Abbasi, Babak & Sheu, Jiuh-Biing & Klibi, Walid, 2024. "Supply chain network design with financial considerations: A comprehensive review," European Journal of Operational Research, Elsevier, vol. 312(3), pages 799-839.
    7. Abdolreza Roshani & Philip Walker-Davies & Glenn Parry, 2024. "Designing resilient supply chain networks: a systematic literature review of mitigation strategies," Annals of Operations Research, Springer, vol. 341(2), pages 1267-1332, October.

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