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Supply Disruptions and Optimal Network Structures

Author

Listed:
  • Kostas Bimpikis

    (Graduate School of Business, Stanford University, Stanford, California 94305)

  • Ozan Candogan

    (Booth School of Business, University of Chicago, Chicago, Illinois 60637)

  • Shayan Ehsani

    (Management Science and Engineering, Stanford University, Stanford, California 94305)

Abstract

This paper studies multitier supply chain networks in the presence of disruption risk. Firms decide how much to source from their upstream suppliers so as to maximize their expected profits, and prices of intermediate goods are set so that markets clear. We provide an explicit characterization of (expected) equilibrium profits, which allows us to derive insights into how the network structure—that is, the number of firms in each tier, production costs, and disruption risk—affect firms’ profits. Furthermore, we establish that networks that maximize profits for firms that operate in different stages of the production process—that is, for upstream suppliers and downstream retailers—are structurally different. In particular, the latter have relatively less diversified downstream tiers and generate more variable output than the former. Finally, we consider supply chains that are formed endogenously. Specifically, we study a setting where firms decide whether to engage in production by considering their (expected) postentry profits. We argue that endogenous entry may lead to chains that are inefficient in terms of the number of firms that engage in production.

Suggested Citation

  • Kostas Bimpikis & Ozan Candogan & Shayan Ehsani, 2019. "Supply Disruptions and Optimal Network Structures," Management Science, INFORMS, vol. 65(12), pages 5504-5517, December.
  • Handle: RePEc:inm:ormnsc:v:65:y:2019:i:12:p:5504-5517
    DOI: 10.1287/mnsc.2018.3217
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    References listed on IDEAS

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    Cited by:

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    3. Karca D. Aral & Erasmo Giambona & Ye Wang, 2022. "Buyer’s Bankruptcy Risk, Sourcing Strategy, and Firm Value: Evidence from the Supplier Protection Act," Management Science, INFORMS, vol. 68(11), pages 7940-7957, November.
    4. Lingxiu Dong & Puping (Phil) Jiang & Fasheng Xu, 2023. "Impact of Traceability Technology Adoption in Food Supply Chain Networks," Management Science, INFORMS, vol. 69(3), pages 1518-1535, March.
    5. Gérard P. Cachon & Karan Girotra & Serguei Netessine, 2020. "Interesting, Important, and Impactful Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 214-222, January.
    6. Liu, Zhongyi & Li, Mengyu & Lei, Ying & Zhai, Xin, 2022. "A joint strategy based on ordering and insurance for mitigating the effects of supply chain disruption on risk-averse firms," International Journal of Production Economics, Elsevier, vol. 244(C).
    7. Di Ao & Jing Gao & Zhijie Lai & Sen Li, 2021. "Regulating Transportation Network Companies with a Mixture of Autonomous Vehicles and For-Hire Human Drivers," Papers 2112.07218, arXiv.org, revised Dec 2023.
    8. Aymeric Vié & Alfredo J. Morales, 2021. "How Connected is Too Connected? Impact of Network Topology on Systemic Risk and Collapse of Complex Economic Systems," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1327-1351, April.
    9. Han Zhang & Goker Aydin & Rodney P. Parker, 2022. "Social Responsibility Auditing in Supply Chain Networks," Management Science, INFORMS, vol. 68(2), pages 1058-1077, February.
    10. Zhiping Lin & Jing Peng & Jia Wang, 2023. "The cash flows in push and pull supply chains under supply disruptions," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 1191-1202, March.
    11. Liu, Zhongyi & Li, Mengyu & Zhai, Xin, 2022. "Managing supply chain disruption threat via a strategy combining pricing and self-protection," International Journal of Production Economics, Elsevier, vol. 247(C).
    12. Chen, Daqiang & Sun, Danzhi & Yin, Yunqiang & Dhamotharan, Lalitha & Kumar, Ajay & Guo, Yihan, 2022. "The resilience of logistics network against node failures," International Journal of Production Economics, Elsevier, vol. 244(C).
    13. Shuna Wang & Zhi-Hua Hu, 2021. "Green Logistics Service Supply Chain Games Considering Risk Preference in Fuzzy Environments," Sustainability, MDPI, vol. 13(14), pages 1-32, July.
    14. Guo, Lei & Yin, Haitao & Zhao, Xuan & Zhu, Qinghua, 2022. "Managing your own low-tier suppliers via donation to NGOs: Why do multi-national corporations bother?," International Journal of Production Economics, Elsevier, vol. 250(C).
    15. Li, Yi & Shou, Biying, 2021. "Managing supply risk: Robust procurement strategy for capacity improvement," Omega, Elsevier, vol. 102(C).
    16. Victor Amelkin & Rakesh Vohra, 2019. "Strategic Formation and Reliability of Supply Chain Networks," Papers 1909.08021, arXiv.org, revised Jan 2020.
    17. Cao, Yunzhi & Zhu, Xiaoyan & Yan, Houmin, 2022. "Data-driven Wasserstein distributionally robust mitigation and recovery against random supply chain disruption," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).

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