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Inventory decisions for emergency supplies based on hurricane count predictions

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  • Taskin, Selda
  • Lodree Jr., Emmett J.

Abstract

This paper addresses a stochastic inventory control problem for manufacturing and retail firms who face challenging procurement and production decisions associated with hurricane seasons. Specifically, the paper presents a control policy in which stocking decisions are based on a hurricane forecast model that predicts the number of landfall hurricanes for an ensuing hurricane season. The multi-period inventory control problem is formulated as a stochastic programming model with recourse where demand during each pre-hurricane season period is represented as a convolution of the current period's demand and an updated estimate of demand for the ensuing hurricane season. Due to the computational challenges associated with solving stochastic programming problems, recent scenario reduction techniques are discussed and illustrated through an example problem. The proposed model specifies cost minimizing inventory strategies for simultaneously meeting stochastic demands that occur prior to the hurricane season while proactively preparing for potential demand surge during the season.

Suggested Citation

  • Taskin, Selda & Lodree Jr., Emmett J., 2010. "Inventory decisions for emergency supplies based on hurricane count predictions," International Journal of Production Economics, Elsevier, vol. 126(1), pages 66-75, July.
    • Handle: RePEc:eee:proeco:v:126:y:2010:i:1:p:66-75
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    References listed on IDEAS

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    1. Teng, Jinn-Tsair & Chang, Chun-Tao & Goyal, Suresh Kumar, 2005. "Optimal pricing and ordering policy under permissible delay in payments," International Journal of Production Economics, Elsevier, vol. 97(2), pages 121-129, August.
    2. Fangruo Chen & Jing-Sheng Song, 2001. "Optimal Policies for Multiechelon Inventory Problems with Markov-Modulated Demand," Operations Research, INFORMS, vol. 49(2), pages 226-234, April.
    3. Choi, Tsan-Ming, 2007. "Pre-season stocking and pricing decisions for fashion retailers with multiple information updating," International Journal of Production Economics, Elsevier, vol. 106(1), pages 146-170, March.
    4. Jing-Sheng Song & Paul Zipkin, 1993. "Inventory Control in a Fluctuating Demand Environment," Operations Research, INFORMS, vol. 41(2), pages 351-370, April.
    5. Hirofumi Matsuo, 1990. "A Stochastic Sequencing Problem for Style Goods with Forecast Revisions and Hierarchical Structure," Management Science, INFORMS, vol. 36(3), pages 332-347, March.
    6. Venkateswaran, Jayendran & Son, Young-Jun, 2007. "Effect of information update frequency on the stability of production-inventory control systems," International Journal of Production Economics, Elsevier, vol. 106(1), pages 171-190, March.
    7. Hari S. Abhyankar & Stephen C. Graves, 2001. "Creating an Inventory Hedge for Markov-Modulated Poisson Demand: An Application and Model," Manufacturing & Service Operations Management, INFORMS, vol. 3(4), pages 306-320, April.
    8. George R. Murray, Jr. & Edward A. Silver, 1966. "A Bayesian Analysis of the Style Goods Inventory Problem," Management Science, INFORMS, vol. 12(11), pages 785-797, July.
    9. Ray, Saibal & Gerchak, Yigal & Jewkes, Elizabeth M., 2005. "Joint pricing and inventory policies for make-to-stock products with deterministic price-sensitive demand," International Journal of Production Economics, Elsevier, vol. 97(2), pages 143-158, August.
    10. T C E Cheng & Y N Wu, 2005. "The impact of information sharing in a two-level supply chain with multiple retailers," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(10), pages 1159-1165, October.
    11. Feng Cheng & Suresh P. Sethi, 1999. "A Periodic Review Inventory Model with Demand Influenced by Promotion Decisions," Management Science, INFORMS, vol. 45(11), pages 1510-1523, November.
    12. Warren H. Hausman & Rein Peterson, 1972. "Multiproduct Production Scheduling for Style Goods with Limited Capacity, Forecast Revisions and Terminal Delivery," Management Science, INFORMS, vol. 18(7), pages 370-383, March.
    13. Choi, Tsan-Ming (Jason) & Li, Duan & Yan, Houmin, 2006. "Quick response policy with Bayesian information updates," European Journal of Operational Research, Elsevier, vol. 170(3), pages 788-808, May.
    14. E J Lodree Jr & S Taskin, 2008. "An insurance risk management framework for disaster relief and supply chain disruption inventory planning," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(5), pages 674-684, May.
    15. D. Beyer & S. P. Sethi & M. Taksar, 1998. "Inventory Models with Markovian Demands and Cost Functions of Polynomial Growth," Journal of Optimization Theory and Applications, Springer, vol. 98(2), pages 281-323, August.
    16. Gabriel R. Bitran & Elizabeth A. Haas & Hirofumi Matsuo, 1986. "Production Planning of Style Goods with High Setup Costs and Forecast Revisions," Operations Research, INFORMS, vol. 34(2), pages 226-236, April.
    17. Choi, Tsan-Ming & Chow, Pui-Sze, 2008. "Mean-variance analysis of Quick Response Program," International Journal of Production Economics, Elsevier, vol. 114(2), pages 456-475, August.
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