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Hedging strategic flexibility in the distribution optimization problem

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  • Lin, Chun-Ta
  • Chen, Yee Ming

Abstract

Motivated by the increasing prevalence of flexibility hedging in corporate-level risk management programs, this paper focuses on the treatment of hedging operational risks in the coordinated replenishment and shipment for distribution systems. The forward option pricing model with the generalized autoregressive conditional heteroskedasticity (GARCH) model for stochastic demand forecasting is adopted for constructing inventory volume flexibility. We therefore propose a hedge-based coordinated inventory replenishment and shipment (HCIRS) methodology for flexibly making inventory hedging and optimal routing assignment decisions as well as coordinating replenishment and shipment policies. The HCIRS methodology provides insight into strategic flexibility adopted for a real-life inventory-distribution problem faced by one of the major East Asia food supply networks and turns out to be very efficient. The proposed HCIRS methodology has provided evidence of better results than the traditional operational techniques for the presented case in this paper.

Suggested Citation

  • Lin, Chun-Ta & Chen, Yee Ming, 2009. "Hedging strategic flexibility in the distribution optimization problem," Omega, Elsevier, vol. 37(4), pages 826-837, August.
    • Handle: RePEc:eee:jomega:v:37:y:2009:i:4:p:826-837
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    References listed on IDEAS

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    1. Dawn Barnes-Schuster & Yehuda Bassok & Ravi Anupindi, 2002. "Coordination and Flexibility in Supply Contracts with Options," Manufacturing & Service Operations Management, INFORMS, vol. 4(3), pages 171-207, May.
    2. Ron Sanchez, 1995. "Strategic flexibility in product competition," Strategic Management Journal, Wiley Blackwell, vol. 16(S1), pages 135-159.
    3. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    4. Gary D. Eppen & R. Kipp Martin, 1988. "Determining Safety Stock in the Presence of Stochastic Lead Time and Demand," Management Science, INFORMS, vol. 34(11), pages 1380-1390, November.
    5. John D. Stowe & Tie Su, 1997. "A Contingent-Claims Approach to the Inventory-Stocking Decision," Financial Management, Financial Management Association, vol. 26(4), Winter.
    6. Chung, Kee H, 1990. "Inventory Decision under Demand Uncertainty: A Contingent Claims Approach," The Financial Review, Eastern Finance Association, vol. 25(4), pages 623-640, November.
    7. James H. Bookbinder & Jin-Yan Tan, 1988. "Strategies for the Probabilistic Lot-Sizing Problem with Service-Level Constraints," Management Science, INFORMS, vol. 34(9), pages 1096-1108, September.
    8. Peter H. Ritchken & Charles S. Tapiero, 1986. "Contingent Claims Contracting for Purchasing Decisions in Inventory Management," Operations Research, INFORMS, vol. 34(6), pages 864-870, December.
    9. Hosoda, Takamichi & Disney, Stephen M., 2006. "On variance amplification in a three-echelon supply chain with minimum mean square error forecasting," Omega, Elsevier, vol. 34(4), pages 344-358, August.
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    Cited by:

    1. Das, Kanchan, 2011. "Integrating effective flexibility measures into a strategic supply chain planning model," European Journal of Operational Research, Elsevier, vol. 211(1), pages 170-183, May.

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