IDEAS home Printed from https://ideas.repec.org/a/inm/ormsom/v26y2024i3p1013-1027.html

When Yield Is Not the Only Supply Uncertainty: Newsvendor Model of a Trade Agent

Author

Listed:
  • Özden Engin Çakıcı

    (Kogod School of Business, American University, Washington, District of Columbia 20016)

  • Itir Karaesmen

    (Kogod School of Business, American University, Washington, District of Columbia 20016)

Abstract

Problem definition: We study the procurement decisions of a trade agent: The agent chooses a bid (unit price to pay) to procure the goods available from seller(s). If the agent wins the bid, the supply is used to meet the buyer’s demand. Methodology/results: The trade agent’s single-period, single-product problem is a new type of newsvendor problem. We analyze the agent’s optimal bid for a seller with yield uncertainty. We show that the bid outcome distribution needs to satisfy an easy-to-check condition but no conditions on the yield distribution are needed for a unique optimal bid to exist. We also show that the expected sales-to-supply ratio that measures scarcity affects the optimal bid. We investigate the monotonicity of the optimal bid with respect to economic parameters, demand, and distributions of bid outcome and yield. The agent’s problem with multiple sellers is also a novel newsvendor network problem. For the two-seller case, we show when diversification is optimal for the agent. We show that working with both sellers may not always be optimal despite the opportunity for risk pooling and bidding only at the unreliable seller may be optimal even when the other seller is reliable. Managerial implications: We make the following recommendations for the agent: (i) bid at a seller only when the expected sales-to-supply ratio for a seller is higher than the critical ratio, considering the agent’s cost of underage and overage, (ii) increase the bid if the bid outcome distribution increases in the reversed hazard rate order, and (iii) increase or decrease the bid depending on the demand-to-supply ratio when a seller’s expected yield increases. Inclusion of additional sellers lowers the optimal bids across the seller network, but it may not be optimal to bid at all sellers. For the two-seller problem, whether to diversify is a decision easily made by computing the expected benefit of bidding at each seller.

Suggested Citation

  • Özden Engin Çakıcı & Itir Karaesmen, 2024. "When Yield Is Not the Only Supply Uncertainty: Newsvendor Model of a Trade Agent," Manufacturing & Service Operations Management, INFORMS, vol. 26(3), pages 1013-1027, May.
  • Handle: RePEc:inm:ormsom:v:26:y:2024:i:3:p:1013-1027
    DOI: 10.1287/msom.2023.0190
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/msom.2023.0190
    Download Restriction: no

    File URL: https://libkey.io/10.1287/msom.2023.0190?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. Nicholas C. Petruzzi & Maqbool Dada, 1999. "Pricing and the Newsvendor Problem: A Review with Extensions," Operations Research, INFORMS, vol. 47(2), pages 183-194, April.
    2. Xiang Li, 2017. "Optimal procurement strategies from suppliers with random yield and all-or-nothing risks," Annals of Operations Research, Springer, vol. 257(1), pages 167-181, October.
    3. 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.
    4. Jong-Min Kim & Hojin Jung, 2019. "Predicting bid prices by using machine learning methods," Applied Economics, Taylor & Francis Journals, vol. 51(19), pages 2011-2018, April.
    5. Ravi Anupindi & Ram Akella, 1993. "Diversification Under Supply Uncertainty," Management Science, INFORMS, vol. 39(8), pages 944-963, August.
    6. Tunay I. Tunca & Qiong Wu, 2009. "Multiple Sourcing and Procurement Process Selection with Bidding Events," Management Science, INFORMS, vol. 55(5), pages 763-780, May.
    7. Abraham Grosfeld-Nir & Yigal Gerchak, 2004. "Multiple Lotsizing in Production to Order with Random Yields: Review of Recent Advances," Annals of Operations Research, Springer, vol. 126(1), pages 43-69, February.
    8. Achal Bassamboo & Ramandeep S. Randhawa & Jan A. Van Mieghem, 2010. "Optimal Flexibility Configurations in Newsvendor Networks: Going Beyond Chaining and Pairing," Management Science, INFORMS, vol. 56(8), pages 1285-1303, August.
    9. Candace Arai Yano & Hau L. Lee, 1995. "Lot Sizing with Random Yields: A Review," Operations Research, INFORMS, vol. 43(2), pages 311-334, April.
    10. Burak Kazaz & Scott Webster, 2011. "The Impact of Yield-Dependent Trading Costs on Pricing and Production Planning Under Supply Uncertainty," Manufacturing & Service Operations Management, INFORMS, vol. 13(3), pages 404-417, July.
    11. Gérard P. Cachon, 2004. "The Allocation of Inventory Risk in a Supply Chain: Push, Pull, and Advance-Purchase Discount Contracts," Management Science, INFORMS, vol. 50(2), pages 222-238, February.
    12. Panos Kouvelis & Guang Xiao & Nan Yang, 2021. "Role of Risk Aversion in Price Postponement Under Supply Random Yield," Management Science, INFORMS, vol. 67(8), pages 4826-4844, August.
    13. Guan, Xu & Ma, Shihua & Yin, Zhe, 2015. "The impact of hybrid push–pull contract in a decentralized assembly system," Omega, Elsevier, vol. 50(C), pages 70-81.
    14. Diwakar Gupta & William L. Cooper, 2005. "Stochastic Comparisons in Production Yield Management," Operations Research, INFORMS, vol. 53(2), pages 377-384, April.
    15. Mehmet Gümüş & Saibal Ray & Haresh Gurnani, 2012. "Supply-Side Story: Risks, Guarantees, Competition, and Information Asymmetry," Management Science, INFORMS, vol. 58(9), pages 1694-1714, September.
    16. Panos Kouvelis & Guang Xiao & Nan Yang, 2018. "On the Properties of Yield Distributions in Random Yield Problems: Conditions, Class of Distributions and Relevant Applications," Production and Operations Management, Production and Operations Management Society, vol. 27(7), pages 1291-1302, July.
    17. Lawrence Friedman, 1956. "A Competitive-Bidding Strategy," Operations Research, INFORMS, vol. 4(1), pages 104-112, February.
    18. Dimitri,Nicola & Piga,Gustavo & Spagnolo,Giancarlo (ed.), 2006. "Handbook of Procurement," Cambridge Books, Cambridge University Press, number 9780521870733, August.
    19. M Skitmore, 2002. "Predicting the probability of winning sealed bid auctions: a comparison of models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(1), pages 47-56, January.
    20. 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.
    21. Ehsan Bolandifar & Tianjun Feng & Fuqiang Zhang, 2018. "Simple Contracts to Assure Supply Under Noncontractible Capacity and Asymmetric Cost Information," Manufacturing & Service Operations Management, INFORMS, vol. 20(2), pages 217-231, May.
    22. Awi Federgruen & Nan Yang, 2014. "Infinite Horizon Strategies for Replenishment Systems with a General Pool of Suppliers," Operations Research, INFORMS, vol. 62(1), pages 141-159, February.
    23. 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.
    24. Tao Li & Suresh P. Sethi & Jun Zhang, 2017. "Mitigating Supply Uncertainty: The Interplay Between Diversification and Pricing," Production and Operations Management, Production and Operations Management Society, vol. 26(3), pages 369-388, March.
    25. Martin A. Lariviere, 2006. "A Note on Probability Distributions with Increasing Generalized Failure Rates," Operations Research, INFORMS, vol. 54(3), pages 602-604, June.
    26. Ayşe Kocabıyıkoğlu & Ioana Popescu, 2011. "An Elasticity Approach to the Newsvendor with Price-Sensitive Demand," Operations Research, INFORMS, vol. 59(2), pages 301-312, April.
    27. Xuan Zhao & Derek R. Atkins, 2008. "Newsvendors Under Simultaneous Price and Inventory Competition," Manufacturing & Service Operations Management, INFORMS, vol. 10(3), pages 539-546, September.
    28. Jan A. Van Mieghem & Nils Rudi, 2002. "Newsvendor Networks: Inventory Management and Capacity Investment with Discretionary Activities," Manufacturing & Service Operations Management, INFORMS, vol. 4(4), pages 313-335, August.
    29. Kostas Bimpikis & Wedad J. Elmaghraby & Ken Moon & Wenchang Zhang, 2020. "Managing Market Thickness in Online Business-to-Business Markets," Management Science, INFORMS, vol. 66(12), pages 5783-5822, December.
    30. Jinfa Chen & David D. Yao & Shaohui Zheng, 2001. "Optimal Replenishment and Rework with Multiple Unreliable Supply Sources," Operations Research, INFORMS, vol. 49(3), pages 430-443, June.
    31. Pritee Ray & Mamata Jenamani, 2016. "Sourcing decision under disruption risk with supply and demand uncertainty: A newsvendor approach," Annals of Operations Research, Springer, vol. 237(1), pages 237-262, February.
    32. Lingxiu Dong & Xin Geng & Guang Xiao & Nan Yang, 2022. "Procurement Strategies with Unreliable Suppliers Under Correlated Random Yields," Manufacturing & Service Operations Management, INFORMS, vol. 24(1), pages 179-195, January.
    33. Savas Dayanik & Mahmut Parlar, 2013. "Dynamic bidding strategies in search-based advertising," Annals of Operations Research, Springer, vol. 211(1), pages 103-136, December.
    34. Fernando Bernstein & Gregory A. DeCroix, 2004. "Decentralized Pricing and Capacity Decisions in a Multitier System with Modular Assembly," Management Science, INFORMS, vol. 50(9), pages 1293-1308, September.
    35. Pritee Ray & Mamata Jenamani, 2016. "Sourcing decision under disruption risk with supply and demand uncertainty: A newsvendor approach," Annals of Operations Research, Springer, vol. 237(1), pages 237-262, February.
    Full references (including those not matched with items on IDEAS)

    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. Lingxiu Dong & Guang Xiao & Nan Yang, 2023. "Supply diversification under random yield: The impact of price postponement," Production and Operations Management, Production and Operations Management Society, vol. 32(4), pages 1112-1132, April.
    2. Lingxiu Dong & Xin Geng & Guang Xiao & Nan Yang, 2022. "Procurement Strategies with Unreliable Suppliers Under Correlated Random Yields," Manufacturing & Service Operations Management, INFORMS, vol. 24(1), pages 179-195, January.
    3. Xin Geng & Xiaomeng Guo & Guang Xiao & Nan Yang, 2024. "Supply Risk Mitigation in a Decentralized Supply Chain: Pricing Postponement or Payment Postponement?," Manufacturing & Service Operations Management, INFORMS, vol. 26(2), pages 646-663, March.
    4. Panos Kouvelis & Guang Xiao & Nan Yang, 2021. "Role of Risk Aversion in Price Postponement Under Supply Random Yield," Management Science, INFORMS, vol. 67(8), pages 4826-4844, August.
    5. Yuan, Zhennan & Chen, Frank Y. & Yan, Xiaoming & Yu, Yugang, 2020. "Operational implications of yield uncertainty in mergers and acquisitions," International Journal of Production Economics, Elsevier, vol. 219(C), pages 248-258.
    6. Pan, Wenting & So, Kut C. & Xiao, Guang, 2022. "Benefits of backup sourcing for components in assembly systems under supply uncertainty," European Journal of Operational Research, Elsevier, vol. 302(1), pages 158-171.
    7. Xue, Weili & Choi, Tsan-Ming & Ma, Lijun, 2016. "Diversification strategy with random yield suppliers for a mean–variance risk-sensitive manufacturer," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 90-107.
    8. Tao Lu & Brian Tomlin, 2023. "Forewarned Is Forearmed? Contingent Sourcing, Shipment Information, and Supplier Competition," Manufacturing & Service Operations Management, INFORMS, vol. 25(5), pages 1796-1813, September.
    9. Mohammadivojdan, Roshanak & Merzifonluoglu, Yasemin & Geunes, Joseph, 2022. "Procurement portfolio planning for a newsvendor with supplier delivery uncertainty," European Journal of Operational Research, Elsevier, vol. 297(3), pages 917-929.
    10. Xi Shan & Tao Li & Suresh P. Sethi, 2022. "A Responsive-Pricing Retailer Sourcing from Competing Suppliers Facing Disruptions," Manufacturing & Service Operations Management, INFORMS, vol. 24(1), pages 196-213, January.
    11. Tao Lu, 2024. "Can a Supplier’s Yield Risk Be Truthfully Communicated via Cheap Talk?," Manufacturing & Service Operations Management, INFORMS, vol. 26(6), pages 2179-2193, November.
    12. 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.
    13. Qi Feng & J. George Shanthikumar, 2018. "Supply and Demand Functions in Inventory Models," Operations Research, INFORMS, vol. 66(1), pages 77-91, 1-2.
    14. 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.
    15. Chung‐Yee Lee & Tao Lu, 2015. "Inventory competition with yield reliability improvement," Naval Research Logistics (NRL), John Wiley & Sons, vol. 62(2), pages 107-126, March.
    16. 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.
    17. Gupta, Varun & Ivanov, Dmitry & Choi, Tsan-Ming, 2021. "Competitive pricing of substitute products under supply disruption," Omega, Elsevier, vol. 101(C).
    18. Awi Federgruen & Nan Yang, 2011. "TECHNICAL NOTE---Procurement Strategies with Unreliable Suppliers," Operations Research, INFORMS, vol. 59(4), pages 1033-1039, August.
    19. Guo Li & Lin Li & Mengqi Liu & Suresh P. Sethi, 2020. "Impact of power structures in a subcontracting assembly system," Annals of Operations Research, Springer, vol. 291(1), pages 475-498, August.
    20. Awi Federgruen & Nan Yang, 2009. "Optimal Supply Diversification Under General Supply Risks," Operations Research, INFORMS, vol. 57(6), pages 1451-1468, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    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:inm:ormsom:v:26:y:2024:i:3:p:1013-1027. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.