IDEAS home Printed from https://ideas.repec.org/a/eee/jomega/v37y2009i4p826-837.html
   My bibliography  Save this article

Hedging strategic flexibility in the distribution optimization problem

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0305-0483(08)00089-3
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ron Sanchez, 1995. "Strategic flexibility in product competition," Strategic Management Journal, Wiley Blackwell, vol. 16(S1), pages 135-159.
    2. John D. Stowe & Tie Su, 1997. "A Contingent-Claims Approach to the Inventory-Stocking Decision," Financial Management, Financial Management Association, vol. 26(4), Winter.
    3. 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.
    4. 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.
    5. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    6. 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.
    7. 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.
    8. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shen, Houcai & Pang, Zhan & Cheng, T.C.E., 2011. "The component procurement problem for the loss-averse manufacturer with spot purchase," International Journal of Production Economics, Elsevier, vol. 132(1), pages 146-153, July.
    2. Sandun C. Perera & Suresh P. Sethi, 2023. "A survey of stochastic inventory models with fixed costs: Optimality of (s, S) and (s, S)‐type policies—Discrete‐time case," Production and Operations Management, Production and Operations Management Society, vol. 32(1), pages 131-153, January.
    3. Liu, Cong & Jiang, Zhibin & Liu, Liming & Geng, Na, 2013. "Solutions for flexible container leasing contracts with options under capacity and order constraints," International Journal of Production Economics, Elsevier, vol. 141(1), pages 403-413.
    4. Hu, Benyong & Qu, Jiali & Meng, Chao, 2018. "Supply chain coordination under option contracts with joint pricing under price-dependent demand," International Journal of Production Economics, Elsevier, vol. 205(C), pages 74-86.
    5. Zhao, Yingxue & Ma, Lijun & Xie, Gang & Cheng, T.C.E., 2013. "Coordination of supply chains with bidirectional option contracts," European Journal of Operational Research, Elsevier, vol. 229(2), pages 375-381.
    6. Ç Haksöz & S Seshadri, 2007. "Supply chain operations in the presence of a spot market: a review with discussion," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(11), pages 1412-1429, November.
    7. Edward Anderson & Bo Chen & Lusheng Shao, 2017. "Supplier Competition with Option Contracts for Discrete Blocks of Capacity," Operations Research, INFORMS, vol. 65(4), pages 952-967, August.
    8. Lander, Diane M. & Pinches, George E., 1998. "Challenges to the Practical Implementation of Modeling and Valuing Real Options," The Quarterly Review of Economics and Finance, Elsevier, vol. 38(3, Part 2), pages 537-567.
    9. Li, Tianyun & Fang, Weiguo & Baykal-Gürsoy, Melike, 2021. "Two-stage inventory management with financing under demand updates," International Journal of Production Economics, Elsevier, vol. 232(C).
    10. Fu, Qi, 2015. "The impact of alternative performance measures on portfolio procurement with contingent option contracts," International Journal of Production Economics, Elsevier, vol. 167(C), pages 128-138.
    11. Spinler, Stefan & Huchzermeier, Arnd, 2006. "The valuation of options on capacity with cost and demand uncertainty," European Journal of Operational Research, Elsevier, vol. 171(3), pages 915-934, June.
    12. Peter Berling & Kaj Rosling, 2005. "The Effects of Financial Risks on Inventory Policy," Management Science, INFORMS, vol. 51(12), pages 1804-1815, December.
    13. Wang, Qunzhi & Tsao, De-bi, 2006. "Supply contract with bidirectional options: The buyer's perspective," International Journal of Production Economics, Elsevier, vol. 101(1), pages 30-52, May.
    14. Rossi, Roberto & Tarim, S. Armagan & Hnich, Brahim & Prestwich, Steven, 2010. "Computing the non-stationary replenishment cycle inventory policy under stochastic supplier lead-times," International Journal of Production Economics, Elsevier, vol. 127(1), pages 180-189, September.
    15. Xing Yu & Wei-Guo Zhang & Yong-Jun Liu, 2019. "Coordination Mechanism for Contract Farming Supply Chain with Government Option Premium Subsidies," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 36(05), pages 1-27, October.
    16. Roberto Rossi & S. Armagan Tarim & Ramesh Bollapragada, 2012. "Constraint-Based Local Search for Inventory Control Under Stochastic Demand and Lead Time," INFORMS Journal on Computing, INFORMS, vol. 24(1), pages 66-80, February.
    17. Jans, R.F. & Degraeve, Z., 2005. "Modeling Industrial Lot Sizing Problems: A Review," ERIM Report Series Research in Management ERS-2005-049-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    18. Rogetzer, Patricia & Silbermayr, Lena & Jammernegg, Werner, 2019. "Sustainable sourcing including capacity reservation for recycled materials: A newsvendor framework with price and demand correlations," International Journal of Production Economics, Elsevier, vol. 214(C), pages 206-219.
    19. Govindan, Kannan, 2015. "The optimal replenishment policy for time-varying stochastic demand under vendor managed inventory," European Journal of Operational Research, Elsevier, vol. 242(2), pages 402-423.
    20. Zied Bahroun & Nidhal Belgacem, 2019. "Determination of dynamic safety stocks for cyclic production schedules," Operations Management Research, Springer, vol. 12(1), pages 62-93, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jomega:v:37:y:2009:i:4:p:826-837. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/375/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.