IDEAS home Printed from https://ideas.repec.org/a/wly/navres/v59y2012i1p69-89.html
   My bibliography  Save this article

Dual sourcing: Responsive hedging against correlated supply and demand uncertainty

Author

Listed:
  • Fabian J. Sting
  • Arnd Huchzermeier

Abstract

This article analyzes dual sourcing decisions under stochastically dependent supply and demand uncertainty. A manufacturer faces the trade‐off between investing in unreliable but high‐margin offshore supply and in reliable but low‐margin local supply, where the latter allows for production that is responsively contingent on the actual demand and offshore supply conditions. Cost thresholds for both types of supply determine the optimal resource allocation: single offshore sourcing, single responsive sourcing, or dual sourcing. Relying on the concept of concordance orders, we study the effects of correlation between supply and demand uncertainty. Adding offshore supply to the sourcing portfolio becomes more favorable under positive correlation, since offshore supply is likely to satisfy demand when needed. Selecting responsive capacity under correlated supply and demand uncertainty is not as straightforward, yet we establish the managerially relevant conditions under which responsive capacity either gains or loses in importance. Our key results are extended to the broad class of endogenous supply uncertainty developed by Dada et al. [Manufact Serv Operat Mange 9 (2007), 9–32].© 2012 Wiley Periodicals, Inc. Naval Research Logistics, 2012

Suggested Citation

  • Fabian J. Sting & Arnd Huchzermeier, 2012. "Dual sourcing: Responsive hedging against correlated supply and demand uncertainty," Naval Research Logistics (NRL), John Wiley & Sons, vol. 59(1), pages 69-89, February.
  • Handle: RePEc:wly:navres:v:59:y:2012:i:1:p:69-89
    DOI: 10.1002/nav.21473
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/nav.21473
    Download Restriction: no

    File URL: https://libkey.io/10.1002/nav.21473?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Yunzeng Wang & Yigal Gerchak, 1996. "Periodic Review Production Models with Variable Capacity, Random Yield, and Uncertain Demand," Management Science, INFORMS, vol. 42(1), pages 130-137, January.
    2. George Kimeldorf & Allan Sampson, 1989. "A framework for positive dependence," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 41(1), pages 31-45, March.
    3. 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.
    4. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.
    5. Arnd Huchzermeier & Morris A. Cohen, 1996. "Valuing Operational Flexibility Under Exchange Rate Risk," Operations Research, INFORMS, vol. 44(1), pages 100-113, February.
    6. Minner, Stefan, 2003. "Multiple-supplier inventory models in supply chain management: A review," International Journal of Production Economics, Elsevier, vol. 81(1), pages 265-279, January.
    7. Volodymyr Babich & Apostolos N. Burnetas & Peter H. Ritchken, 2007. "Competition and Diversification Effects in Supply Chains with Supplier Default Risk," Manufacturing & Service Operations Management, INFORMS, vol. 9(2), pages 123-146, October.
    8. 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.
    9. Tomas Gal & Josef Nedoma, 1972. "Multiparametric Linear Programming," Management Science, INFORMS, vol. 18(7), pages 406-422, March.
    10. Jeff Linderoth & Alexander Shapiro & Stephen Wright, 2006. "The empirical behavior of sampling methods for stochastic programming," Annals of Operations Research, Springer, vol. 142(1), pages 215-241, February.
    11. Candace Arai Yano & Hau L. Lee, 1995. "Lot Sizing with Random Yields: A Review," Operations Research, INFORMS, vol. 43(2), pages 311-334, April.
    12. Harrison, J. Michael & Van Mieghem, Jan A., 1999. "Multi-resource investment strategies: Operational hedging under demand uncertainty," European Journal of Operational Research, Elsevier, vol. 113(1), pages 17-29, February.
    13. Jan A. Van Mieghem, 1998. "Investment Strategies for Flexible Resources," Management Science, INFORMS, vol. 44(8), pages 1071-1078, August.
    14. GAL, Thomas & NEDOMA, Jozef, 1972. "Multiparametric linear programming," LIDAM Reprints CORE 115, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    15. Frank W. Ciarallo & Ramakrishna Akella & Thomas E. Morton, 1994. "A Periodic Review, Production Planning Model with Uncertain Capacity and Uncertain Demand---Optimality of Extended Myopic Policies," Management Science, INFORMS, vol. 40(3), pages 320-332, March.
    16. Mordechai Henig & Yigal Gerchak, 1990. "The Structure of Periodic Review Policies in the Presence of Random Yield," Operations Research, INFORMS, vol. 38(4), pages 634-643, August.
    17. Maqbool Dada & Nicholas C. Petruzzi & Leroy B. Schwarz, 2007. "A Newsvendor's Procurement Problem when Suppliers Are Unreliable," Manufacturing & Service Operations Management, INFORMS, vol. 9(1), pages 9-32, August.
    18. 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.
    19. Yimin Wang & Wendell Gilland & Brian Tomlin, 2010. "Mitigating Supply Risk: Dual Sourcing or Process Improvement?," Manufacturing & Service Operations Management, INFORMS, vol. 12(3), pages 489-510, September.
    20. Sting, Fabian J. & Huchzermeier, Arnd, 2010. "Ensuring responsive capacity: How to contract with backup suppliers," European Journal of Operational Research, Elsevier, vol. 207(2), pages 725-735, December.
    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. Hsieh, Chung-Chi & Lathifah, Artya, 2022. "Ordering and waste reuse decisions in a make-to-order system under demand uncertainty," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1290-1303.
    2. Li, Yanhai & Ou, Jinwen, 2022. "Replenishment decisions for complementary components with supply capacity uncertainty under the CVaR criterion," European Journal of Operational Research, Elsevier, vol. 297(3), pages 904-916.
    3. Md. Tariqul Islam & Abdullahil Azeem & Masum Jabir & Ananna Paul & Sanjoy Kumar Paul, 2022. "An inventory model for a three-stage supply chain with random capacities considering disruptions and supplier reliability," Annals of Operations Research, Springer, vol. 315(2), pages 1703-1728, August.
    4. Svoboda, Josef & Minner, Stefan & Yao, Man, 2021. "Typology and literature review on multiple supplier inventory control models," European Journal of Operational Research, Elsevier, vol. 293(1), pages 1-23.
    5. Boulaksil, Youssef & Hamdouch, Younes & Ghoudi, Kilani & Fransoo, Jan C., 2021. "Comparing policies for the stochastic multi-period dual sourcing problem from a supply chain perspective," Other publications TiSEM 242598b9-99de-4a3c-a1a9-4, Tilburg University, School of Economics and Management.
    6. Boulaksil, Youssef & Hamdouch, Younes & Ghoudi, Kilani & Fransoo, Jan C., 2021. "Comparing policies for the stochastic multi-period dual sourcing problem from a supply chain perspective," International Journal of Production Economics, Elsevier, vol. 232(C).

    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. Cheong, Taesu & Song, Sang Hwa, 2013. "The value of information on supply risk under random yields," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 60(C), pages 27-38.
    2. Jain, Tarun & Hazra, Jishnu, 2017. "Sourcing strategies under agglomeration economies, capacity risks and retail competition," International Journal of Production Economics, Elsevier, vol. 191(C), pages 311-322.
    3. Seung Hwan Jung, 2020. "Offshore versus Onshore Sourcing: Quick Response, Random Yield, and Competition," Production and Operations Management, Production and Operations Management Society, vol. 29(3), pages 750-766, March.
    4. Zhao, Lima & Huchzermeier, Arnd, 2015. "Operations–finance interface models: A literature review and framework," European Journal of Operational Research, Elsevier, vol. 244(3), pages 905-917.
    5. 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.
    6. Svoboda, Josef & Minner, Stefan & Yao, Man, 2021. "Typology and literature review on multiple supplier inventory control models," European Journal of Operational Research, Elsevier, vol. 293(1), pages 1-23.
    7. Qi Feng & J. George Shanthikumar, 2018. "Supply and Demand Functions in Inventory Models," Operations Research, INFORMS, vol. 66(1), pages 77-91, 1-2.
    8. Huang, He & Xu, Hongyan, 2015. "Dual sourcing and backup production: Coexistence versus exclusivity," Omega, Elsevier, vol. 57(PA), pages 22-33.
    9. Wang, Yimin & Xiao, Yixuan & Yang, Nan, 2014. "Improving reliability of a shared supplier with competition and spillovers," European Journal of Operational Research, Elsevier, vol. 236(2), pages 499-510.
    10. Sting, Fabian J. & Huchzermeier, Arnd, 2010. "Ensuring responsive capacity: How to contract with backup suppliers," European Journal of Operational Research, Elsevier, vol. 207(2), pages 725-735, December.
    11. Maqbool Dada & Nicholas C. Petruzzi & Leroy B. Schwarz, 2007. "A Newsvendor's Procurement Problem when Suppliers Are Unreliable," Manufacturing & Service Operations Management, INFORMS, vol. 9(1), pages 9-32, August.
    12. Silbermayr, Lena & Minner, Stefan, 2016. "Dual sourcing under disruption risk and cost improvement through learning," European Journal of Operational Research, Elsevier, vol. 250(1), pages 226-238.
    13. Wen Chen & Burcu Tan, 2022. "Dynamic procurement from multiple suppliers with random capacities," Annals of Operations Research, Springer, vol. 317(2), pages 509-536, October.
    14. Long He & Ying Rong & Zuo‐Jun Max Shen, 2020. "Product Sourcing and Distribution Strategies under Supply Disruption and Recall Risks," Production and Operations Management, Production and Operations Management Society, vol. 29(1), pages 9-23, January.
    15. Sarah Parlane & Ying-Yi Tsai, 2017. "Optimal Management of Supply Disruptions when Contracting with Unreliable, Risk-averse, Suppliers," Working Papers 201714, School of Economics, University College Dublin.
    16. Süleyman Demirel & Roman Kapuscinski & Man Yu, 2018. "Strategic Behavior of Suppliers in the Face of Production Disruptions," Management Science, INFORMS, vol. 64(2), pages 533-551, February.
    17. Xu, He & Zuo, Xiaolu & Liu, Zhixue, 2015. "Configuration of flexibility strategies under supply uncertainty," Omega, Elsevier, vol. 51(C), pages 71-82.
    18. Hagspiel, Simeon, 2016. "Supply Chain Reliability and the Role of Individual Suppliers," EWI Working Papers 2016-5, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    19. Awi Federgruen & Nan Yang, 2008. "Selecting a Portfolio of Suppliers Under Demand and Supply Risks," Operations Research, INFORMS, vol. 56(4), pages 916-936, August.
    20. Serel, Dogan A., 2008. "Inventory and pricing decisions in a single-period problem involving risky supply," International Journal of Production Economics, Elsevier, vol. 116(1), pages 115-128, November.

    More about this item

    Statistics

    Access and download statistics

    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:wly:navres:v:59:y:2012:i:1:p:69-89. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1520-6750 .

    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.