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A continuous-review inventory model with random disruptions at the primary supplier

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  • Qi, Lian

Abstract

We consider a continuous-review inventory problem for a retailer facing constant customer demand for a single product. This retailer is assumed to follow the well known and widely used order-up-to policy in making replenishment decisions, and can order from two suppliers who differ in reliability and costs. Supplier 1, the primary supplier, is cheaper, but is subject to random disruptions. Supplier 2, the backup supplier or the contingent source, is more expensive, but is perfectly reliable. If Supplier 1 is available when the inventory level at the retailer reaches the reorder point, the retailer orders from Supplier 1. Otherwise, it will wait for a while to see if Supplier 1 can recover from the disruption quickly. If so, it will still get replenishment from Supplier 1 to take advantage of its lower charge. However, the retailer will reroute to the backup supplier if Supplier 1 still does not recover from the disruption when the cap of waiting (the maximal waiting time of the retailer if Supplier 1 is disrupted) is reached. We analytically study the optimal sourcing and replenishment decisions at the retailer, and the impacts of various problem parameters on the optimal decisions. We also conduct extensive numerical experiments to compare different sourcing and replenishment decisions the retailer can make and get further managerial insights into the problem.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:ejores:v:225:y:2013:i:1:p:59-74
    DOI: 10.1016/j.ejor.2012.09.035
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    References listed on IDEAS

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    Cited by:

    1. Song, Dong-Ping & Dong, Jing-Xin & Xu, Jingjing, 2014. "Integrated inventory management and supplier base reduction in a supply chain with multiple uncertainties," European Journal of Operational Research, Elsevier, vol. 232(3), pages 522-536.
    2. Zhang, Ying & Snyder, Lawrence V. & Qi, Mingyao & Miao, Lixin, 2016. "A heterogeneous reliable location model with risk pooling under supply disruptions," Transportation Research Part B: Methodological, Elsevier, vol. 83(C), pages 151-178.
    3. Qi, Lian & Lee, Kangbok, 2015. "Supply chain risk mitigations with expedited shipping," Omega, Elsevier, vol. 57(PA), pages 98-113.
    4. Zhang, Ying & Qi, Mingyao & Lin, Wei-Hua & Miao, Lixin, 2015. "A metaheuristic approach to the reliable location routing problem under disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 83(C), pages 90-110.
    5. Ivanov, Dmitry & Pavlov, Alexander & Sokolov, Boris, 2014. "Optimal distribution (re)planning in a centralized multi-stage supply network under conditions of the ripple effect and structure dynamics," European Journal of Operational Research, Elsevier, vol. 237(2), pages 758-770.
    6. Gao, Long, 2015. "Collaborative forecasting, inventory hedging and contract coordination in dynamic supply risk management," European Journal of Operational Research, Elsevier, vol. 245(1), pages 133-145.
    7. Yang, Yuefeng & Xu, Xuerong, 2015. "Post-disaster grain supply chain resilience with government aid," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 76(C), pages 139-159.
    8. Sheu, Jiuh-Biing, 2016. "Supplier hoarding, government intervention, and timing for post-disaster crop supply chain recovery," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 134-160.
    9. Qi, Lian & Shi, Jim (Junmin) & Xu, Xiaowei, 2015. "Supplier competition and its impact on firm׳s sourcing strategy," Omega, Elsevier, vol. 55(C), pages 91-110.
    10. Faiza Hamdi & Ahmed Ghorbel & Faouzi Masmoudi & Lionel Dupont, 0. "Optimization of a supply portfolio in the context of supply chain risk management: literature review," Journal of Intelligent Manufacturing, Springer, vol. 0, pages 1-26.
    11. Sanjoy Kumar Paul & Ruhul Sarker & Daryl Essam, 0. "A reactive mitigation approach for managing supply disruption in a three-tier supply chain," Journal of Intelligent Manufacturing, Springer, vol. 0, pages 1-17.
    12. Schmitt, Amanda J. & Sun, Siyuan Anthony & Snyder, Lawrence V. & Shen, Zuo-Jun Max, 2015. "Centralization versus decentralization: Risk pooling, risk diversification, and supply chain disruptions," Omega, Elsevier, vol. 52(C), pages 201-212.

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