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Joint procurement and demand-side bidding strategies under price volatility

Author

Listed:
  • Xiaofeng Nie

    (Nanyang Technological University)

  • Tamer Boyacı

    (McGill University)

  • Mehmet Gümüş

    (McGill University)

  • Saibal Ray

    (McGill University)

  • Dan Zhang

    (University of Colorado at Boulder)

Abstract

We consider a firm buying a commodity from a spot market as raw material and selling a final product by submitting bids. Bidding opportunities (i.e., demand arrivals) are random, and the likelihood of winning bids (i.e., selling the product) depends on the bid price. The price of the commodity raw material is also stochastic. The objective of the firm is to jointly decide on the procurement and bidding strategies to maximize its expected total discounted profit in the face of this demand and supply randomness. We model the commodity prices in the spot market as a Markov chain and the bidding opportunities as a Poisson process. Subsequently, we formulate the decision-making problem of the firm as an infinite-horizon stochastic dynamic program and analytically characterize its structural properties. We prove that the optimal procurement strategy follows a price-dependent base-stock policy and the optimal bidding price is decreasing with respect to the inventory level. We also formulate and analyze three intuitively appealing heuristic strategies, which either do not allow for carrying inventory or adopt simpler bidding policies (e.g., a constant bid price or myopically set bid prices). Using historical daily prices of several commodities, we then calibrate our models and conduct an extensive numerical study to compare the performances of the different strategies. Our study reveals the importance of adopting the optimal integrative procurement and bidding strategy, which is particularly rewarding when the raw material prices are more volatile and/or when there is significant competition on the demand side (the probability of winning is much smaller when submitting the same bid price). We establish that the relative performances of the three heuristic strategies depend critically on the holding cost of raw material inventory and the competitive environment, and identify conditions under which the shortfalls in profits from adopting such strategies are relatively less significant.

Suggested Citation

  • Xiaofeng Nie & Tamer Boyacı & Mehmet Gümüş & Saibal Ray & Dan Zhang, 2017. "Joint procurement and demand-side bidding strategies under price volatility," Annals of Operations Research, Springer, vol. 257(1), pages 121-165, October.
    • Handle: RePEc:spr:annopr:v:257:y:2017:i:1:d:10.1007_s10479-015-1838-0
    DOI: 10.1007/s10479-015-1838-0
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    References listed on IDEAS

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    1. Awi Federgruen & Aliza Heching, 1999. "Combined Pricing and Inventory Control Under Uncertainty," Operations Research, INFORMS, vol. 47(3), pages 454-475, June.
    2. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.
    3. Seifert, Ralf W. & Thonemann, Ulrich W. & Hausman, Warren H., 2004. "Optimal procurement strategies for online spot markets," European Journal of Operational Research, Elsevier, vol. 152(3), pages 781-799, February.
    4. Peter Berling & Victor Martínez-de-Albéniz, 2011. "Optimal Inventory Policies when Purchase Price and Demand Are Stochastic," Operations Research, INFORMS, vol. 59(1), pages 109-124, February.
    5. T. Fabian & J. L. Fisher & M. W. Sasieni & A. Yardeni, 1959. "Purchasing Raw Material on a Fluctuating Market," Operations Research, INFORMS, vol. 7(1), pages 107-122, February.
    6. Wang, Yunzeng, 2001. "The optimality of myopic stocking policies for systems with decreasing purchasing prices," European Journal of Operational Research, Elsevier, vol. 133(1), pages 153-159, August.
    7. X. Guo & P. Kaminsky & P. Tomecek & M. Yuen, 2011. "Optimal spot market inventory strategies in the presence of cost and price risk," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 73(1), pages 109-137, February.
    8. Albert Y. Ha, 1997. "Inventory Rationing in a Make-to-Stock Production System with Several Demand Classes and Lost Sales," Management Science, INFORMS, vol. 43(8), pages 1093-1103, August.
    9. Mogens Bladt & Michael SØrensen, 2009. "Efficient estimation of transition rates between credit ratings from observations at discrete time points," Quantitative Finance, Taylor & Francis Journals, vol. 9(2), pages 147-160.
    10. 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.
    11. Basil A. Kalymon, 1971. "Stochastic Prices in a Single-Item Inventory Purchasing Model," Operations Research, INFORMS, vol. 19(6), pages 1434-1458, October.
    12. Vakharia, Asoo J. & Yenipazarli, Arda, 2009. "Managing Supply Chain Disruptions," Foundations and Trends(R) in Technology, Information and Operations Management, now publishers, vol. 2(4), pages 243-325, October.
    13. S. Özekici & M. Parlar, 1999. "Inventory models with unreliable suppliersin a random environment," Annals of Operations Research, Springer, vol. 91(0), pages 123-136, January.
    14. 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.
    15. Schwartz, Eduardo S, 1997. "The Stochastic Behavior of Commodity Prices: Implications for Valuation and Hedging," Journal of Finance, American Finance Association, vol. 52(3), pages 923-973, July.
    16. Jean-Philippe Gayon & Saif Benjaafar & Francis de Véricourt, 2009. "Using Imperfect Advance Demand Information in Production-Inventory Systems with Multiple Customer Classes," Manufacturing & Service Operations Management, INFORMS, vol. 11(1), pages 128-143, July.
    17. Kamal Golabi, 1985. "Optimal Inventory Policies When Ordering Prices are Random," Operations Research, INFORMS, vol. 33(3), pages 575-588, June.
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