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Procurement, Dynamic Pricing, and Early Exit Decisions for Products with Short Life Cycles

Author

Listed:
  • Elifnas Ertekin

  • J. B. G. Frenk

    (Gebze Technical University)

  • Canan Pehlivan

    (Yeditepe University)

  • Andrei Sleptchenko

    (Khalifa University)

Abstract

We revisit the finite-horizon profit maximization problem of a supplier selling a product with a short life cycle. Earlier literature on this problem generally assumes that the pricing policy and the initial procurement decision are the main tools to boost revenues. A small number of recent papers bring a third one into the picture: the early exit possibility/time from the market. In the current paper, we study a continuous-time model with Poisson arrivals, which incorporates all three decisions together. To the best of our knowledge, this is the first paper to include all these decisions in a model for a short-life-cycle product. Except for the initial procurement, we assume that pricing and exit decisions are taken dynamically. We give a rigorous treatment of the model, study its dynamic programming equations, and provide a numerical algorithm. We illustrate our algorithm with various examples. In our numerical experiments, we also consider three subproblems to see the marginal contributions of these decisions to the supplier’s profits. In each subproblem, we remove one of the decisions from the optimization framework and simply replace it with a simple rule of thumb. In our experiments, we observe that pricing and the initial-order quantity are the decisions that affect the profits the most.

Suggested Citation

  • Elifnas Ertekin & J. B. G. Frenk & Canan Pehlivan & Andrei Sleptchenko, 2025. "Procurement, Dynamic Pricing, and Early Exit Decisions for Products with Short Life Cycles," Methodology and Computing in Applied Probability, Springer, vol. 27(3), pages 1-27, September.
  • Handle: RePEc:spr:metcap:v:27:y:2025:i:3:d:10.1007_s11009-025-10180-8
    DOI: 10.1007/s11009-025-10180-8
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    1. Guillermo Gallego & Garrett van Ryzin, 1994. "Optimal Dynamic Pricing of Inventories with Stochastic Demand over Finite Horizons," Management Science, INFORMS, vol. 40(8), pages 999-1020, August.
    2. Arnoud V. den Boer & Bert Zwart, 2014. "Simultaneously Learning and Optimizing Using Controlled Variance Pricing," Management Science, INFORMS, vol. 60(3), pages 770-783, March.
    3. Ming Chen & Zhi-Long Chen, 2015. "Recent Developments in Dynamic Pricing Research: Multiple Products, Competition, and Limited Demand Information," Production and Operations Management, Production and Operations Management Society, vol. 24(5), pages 704-731, May.
    4. Fang, Fei & Nguyen, Tri-Dung & Currie, Christine S.M., 2021. "Joint pricing and inventory decisions for substitutable and perishable products under demand uncertainty," European Journal of Operational Research, Elsevier, vol. 293(2), pages 594-602.
    5. Qin, Yan & Wang, Ruoxuan & Vakharia, Asoo J. & Chen, Yuwen & Seref, Michelle M.H., 2011. "The newsvendor problem: Review and directions for future research," European Journal of Operational Research, Elsevier, vol. 213(2), pages 361-374, September.
    6. Ozyoruk, Emin & Erkip, Nesim Kohen & Ararat, Çağın, 2022. "End-of-life inventory management problem: Results and insights," International Journal of Production Economics, Elsevier, vol. 243(C).
    7. Wedad Elmaghraby & Altan Gülcü & P{i}nar Keskinocak, 2008. "Designing Optimal Preannounced Markdowns in the Presence of Rational Customers with Multiunit Demands," Manufacturing & Service Operations Management, INFORMS, vol. 10(1), pages 126-148, June.
    8. 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.
    9. Chatwin, Richard E., 2000. "Optimal dynamic pricing of perishable products with stochastic demand and a finite set of prices," European Journal of Operational Research, Elsevier, vol. 125(1), pages 149-174, August.
    10. Chun, Young H., 2003. "Optimal pricing and ordering policies for perishable commodities," European Journal of Operational Research, Elsevier, vol. 144(1), pages 68-82, January.
    11. Wen Zhao & Yu-Sheng Zheng, 2000. "Optimal Dynamic Pricing for Perishable Assets with Nonhomogeneous Demand," Management Science, INFORMS, vol. 46(3), pages 375-388, March.
    12. Kehong Chen & Yong Zha & Layth C. Alwan & Lu Zhang, 2020. "Dynamic pricing in the presence of reference price effect and consumer strategic behaviour," International Journal of Production Research, Taylor & Francis Journals, vol. 58(2), pages 546-561, January.
    13. Chen, Junlin & Zhao, Yingshuai, 2020. "High price or low price? An experimental study on a markdown pricing policy," European Journal of Operational Research, Elsevier, vol. 284(1), pages 240-254.
    14. Urban, Timothy L. & Baker, R. C., 1997. "Optimal ordering and pricing policies in a single-period environment with multivariate demand and markdowns," European Journal of Operational Research, Elsevier, vol. 103(3), pages 573-583, December.
    15. Schulte, Benedikt & Sachs, Anna-Lena, 2020. "The price-setting newsvendor with Poisson demand," European Journal of Operational Research, Elsevier, vol. 283(1), pages 125-137.
    16. Van Foreest, Nicky D. & Kilic, Onur A., 2023. "An intuitive approach to inventory control with optimal stopping," European Journal of Operational Research, Elsevier, vol. 311(3), pages 921-924.
    17. Frenk, J.B.G. & Javadi, S. & Pourakbar, M. & Sezer, S.O., 2019. "An exact static solution approach for the service parts end-of-life inventory problem," European Journal of Operational Research, Elsevier, vol. 272(2), pages 496-504.
    18. Wedad Elmaghraby & P{i}nar Keskinocak, 2003. "Dynamic Pricing in the Presence of Inventory Considerations: Research Overview, Current Practices, and Future Directions," Management Science, INFORMS, vol. 49(10), pages 1287-1309, October.
    19. Yanzhi Li & Andrew Lim & Brian Rodrigues, 2009. "Note--Pricing and Inventory Control for a Perishable Product," Manufacturing & Service Operations Management, INFORMS, vol. 11(3), pages 538-542, February.
    20. Gérard P. Cachon & Robert Swinney, 2009. "Purchasing, Pricing, and Quick Response in the Presence of Strategic Consumers," Management Science, INFORMS, vol. 55(3), pages 497-511, March.
    21. N. Bora Keskin & John R. Birge, 2019. "Dynamic Selling Mechanisms for Product Differentiation and Learning," Operations Research, INFORMS, vol. 67(4), pages 1069-1089, July.
    22. Koenig, Matthias & Meissner, Joern, 2010. "List pricing versus dynamic pricing: Impact on the revenue risk," European Journal of Operational Research, Elsevier, vol. 204(3), pages 505-512, August.
    23. Dasci, Abdullah & Huang, Rongbing, 2017. "A continuous approximation method for dynamic pricing problem under costly price modifications," Omega, Elsevier, vol. 72(C), pages 38-49.
    24. Gabriel R. Bitran & Susana V. Mondschein, 1997. "Periodic Pricing of Seasonal Products in Retailing," Management Science, INFORMS, vol. 43(1), pages 64-79, January.
    25. J. B. G. Frenk & Canan Pehlivan & Semih O. Sezer, 2019. "Order and exit decisions under non-increasing price curves for products with short life cycles," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 90(3), pages 365-397, December.
    26. Dasu, Sriram & Tong, Chunyang, 2010. "Dynamic pricing when consumers are strategic: Analysis of posted and contingent pricing schemes," European Journal of Operational Research, Elsevier, vol. 204(3), pages 662-671, August.
    27. Lingxiu Dong & Panos Kouvelis & Zhongjun Tian, 2009. "Dynamic Pricing and Inventory Control of Substitute Products," Manufacturing & Service Operations Management, INFORMS, vol. 11(2), pages 317-339, December.
    28. Banerjee, Pradeep K. & Turner, T. Rolf, 2012. "A flexible model for the pricing of perishable assets," Omega, Elsevier, vol. 40(5), pages 533-540.
    29. Gabriel Bitran & René Caldentey, 2003. "An Overview of Pricing Models for Revenue Management," Manufacturing & Service Operations Management, INFORMS, vol. 5(3), pages 203-229, August.
    30. Guillermo Gallego & Michael Z. F. Li & Yan Liu, 2020. "Dynamic Nonlinear Pricing of Inventories over Finite Sales Horizons," Operations Research, INFORMS, vol. 68(3), pages 655-670, May.
    31. Jue Wang, 2021. "Optimal Bayesian Demand Learning over Short Horizons," Production and Operations Management, Production and Operations Management Society, vol. 30(4), pages 1154-1177, April.
    32. Cao, Ping & Li, Jianbin & Yan, Hong, 2012. "Optimal dynamic pricing of inventories with stochastic demand and discounted criterion," European Journal of Operational Research, Elsevier, vol. 217(3), pages 580-588.
    33. Youyi Feng & Baichun Xiao, 2000. "A Continuous-Time Yield Management Model with Multiple Prices and Reversible Price Changes," Management Science, INFORMS, vol. 46(5), pages 644-657, May.
    34. Lin, Kyle Y., 2006. "Dynamic pricing with real-time demand learning," European Journal of Operational Research, Elsevier, vol. 174(1), pages 522-538, October.
    35. Youyi Feng & Guillermo Gallego, 2000. "Perishable Asset Revenue Management with Markovian Time Dependent Demand Intensities," Management Science, INFORMS, vol. 46(7), pages 941-956, July.
    36. Transchel, Sandra & Minner, Stefan, 2009. "The impact of dynamic pricing on the economic order decision," European Journal of Operational Research, Elsevier, vol. 198(3), pages 773-789, November.
    37. Zizhuo Wang & Shiming Deng & Yinyu Ye, 2014. "Close the Gaps: A Learning-While-Doing Algorithm for Single-Product Revenue Management Problems," Operations Research, INFORMS, vol. 62(2), pages 318-331, April.
    38. Netessine, Serguei, 2006. "Dynamic pricing of inventory/capacity with infrequent price changes," European Journal of Operational Research, Elsevier, vol. 174(1), pages 553-580, October.
    39. Arnoud V. den Boer & Bert Zwart, 2015. "Dynamic Pricing and Learning with Finite Inventories," Operations Research, INFORMS, vol. 63(4), pages 965-978, August.
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