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Mitigating Product Shortage Due to Disruptions in Multi‐Stage Supply Chains

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  • Florian Lücker
  • Sunil Chopra
  • Ralf W. Seifert

Abstract

We focus on the optimal use of risk mitigation inventory (RMI) and reserve capacity to manage disruption risk in serial multi‐stage supply chains where product transformation occurs at each stage. We find that under reasonable conditions it is better to hold more RMI downstream than upstream even when the upstream holding costs are lower. We also find that it is often optimal to hold more reserve capacity downstream than upstream. While in one‐stage supply chains RMI and reserve capacity always behave as substitutes, it turns out that in multi‐stage serial supply chains the interplay between RMI and reserve capacity is more nuanced. We find that echelon RMI and reserve capacity at each stage are substitutes. In contrast, RMI at a stage complements reserve capacity at the adjacent downstream stage.

Suggested Citation

  • Florian Lücker & Sunil Chopra & Ralf W. Seifert, 2021. "Mitigating Product Shortage Due to Disruptions in Multi‐Stage Supply Chains," Production and Operations Management, Production and Operations Management Society, vol. 30(4), pages 941-964, April.
    • Handle: RePEc:bla:popmgt:v:30:y:2021:i:4:p:941-964
    DOI: 10.1111/poms.13286
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    1. Charles P. Schmidt & Steven Nahmias, 1985. "Optimal Policy for a Two-Stage Assembly System under Random Demand," Operations Research, INFORMS, vol. 33(5), pages 1130-1145, October.
    2. Brian Tomlin, 2006. "On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks," Management Science, INFORMS, vol. 52(5), pages 639-657, May.
    3. Qi, Lian & Lee, Kangbok, 2015. "Supply chain risk mitigations with expedited shipping," Omega, Elsevier, vol. 57(PA), pages 98-113.
    4. Stephen C. Graves, 1985. "A Multi-Echelon Inventory Model for a Repairable Item with One-for-One Replenishment," Management Science, INFORMS, vol. 31(10), pages 1247-1256, October.
    5. Schorpp, Georg & Erhun, Feryal & Lee, Hau L., 2018. "Multi-tiered Supply Chain Risk Management," Research Papers repec:ecl:stabus:3639, Stanford University, Graduate School of Business.
    6. Qi, Lian, 2013. "A continuous-review inventory model with random disruptions at the primary supplier," European Journal of Operational Research, Elsevier, vol. 225(1), pages 59-74.
    7. Awi Federgruen & Paul Zipkin, 1984. "Approximations of Dynamic, Multilocation Production and Inventory Problems," Management Science, INFORMS, vol. 30(1), pages 69-84, January.
    8. Erjie Ang & Dan A. Iancu & Robert Swinney, 2017. "Disruption Risk and Optimal Sourcing in Multitier Supply Networks," Management Science, INFORMS, vol. 63(8), pages 2397-2419, August.
    9. Mahmut Parlar & David Perry, 1996. "Inventory models of future supply uncertainty with single and multiple suppliers," Naval Research Logistics (NRL), John Wiley & Sons, vol. 43(2), pages 191-210, March.
    10. Michael K. Lim & Achal Bassamboo & Sunil Chopra & Mark S. Daskin, 2013. "Facility Location Decisions with Random Disruptions and Imperfect Estimation," Manufacturing & Service Operations Management, INFORMS, vol. 15(2), pages 239-249, May.
    11. Sunil Chopra & Gilles Reinhardt & Usha Mohan, 2007. "The importance of decoupling recurrent and disruption risks in a supply chain," Naval Research Logistics (NRL), John Wiley & Sons, vol. 54(5), pages 544-555, August.
    12. Lawrence V. Snyder & Zümbül Atan & Peng Peng & Ying Rong & Amanda J. Schmitt & Burcu Sinsoysal, 2016. "OR/MS models for supply chain disruptions: a review," IISE Transactions, Taylor & Francis Journals, vol. 48(2), pages 89-109, February.
    13. Kaj Rosling, 1989. "Optimal Inventory Policies for Assembly Systems Under Random Demands," Operations Research, INFORMS, vol. 37(4), pages 565-579, August.
    14. Lingxiu Dong & Sammi Yu Tang & Brian Tomlin, 2018. "Production Chain Disruptions: Inventory, Preparedness, and Insurance," Production and Operations Management, Production and Operations Management Society, vol. 27(7), pages 1251-1270, July.
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    3. Ivanov, Dmitry, 2023. "Intelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability," International Journal of Production Economics, Elsevier, vol. 263(C).
    4. Ivanov, Dmitry & Dolgui, Alexandre & Sokolov, Boris, 2022. "Cloud supply chain: Integrating Industry 4.0 and digital platforms in the “Supply Chain-as-a-Service”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).

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