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Finite-horizon joint inventory-pricing optimization with non-concave demand and lost sales

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  • Ba, Luyao
  • Xie, Yangyang
  • Ma, Lijun

Abstract

In this paper, we study a periodic-review joint inventory and pricing optimization problem in a stochastic price-sensitive demand framework with lost sales. We contribute to the existing literature from three aspects: generalizing the form of demand functions, developing the technique of proving concavity preservation, and extending the scope of optimality conditions. Specifically, we set the demand in our model as a general function. In order to obtain the optimality condition under general demands, we first introduce the concept of Price Elasticity of the Slope (PES) and transform the original PES condition between sales and profit in literature into a PES condition between sales and demand. Then, we obtain the lower bound of the PES difference between sales and profit by utilizing our transformed condition. With the non-negativity of the lower bound, we obtain two groups of easy-to-verify conditions which consist of the mean demand and the probability distribution of the demand. Under specific demand forms, the obtained conditions are reduced to constraints on the distribution of price-free uncertainty and the deterministic functions of price, respectively. Compared with the existing literature, our study therefore extends the scope of optimality conditions and includes non-concave demand functions when adapting a base-stock list-price (BSLP) policy in a joint inventory-pricing problem. Our conditions ensure that more types of products (e.g., the products of which the price elasticity of demand is constant) meet the optimality of the BSLP strategy, and more retailers can make pricing and replenishment decisions based on this strategy.

Suggested Citation

  • Ba, Luyao & Xie, Yangyang & Ma, Lijun, 2023. "Finite-horizon joint inventory-pricing optimization with non-concave demand and lost sales," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 172(C).
  • Handle: RePEc:eee:transe:v:172:y:2023:i:c:s1366554523000558
    DOI: 10.1016/j.tre.2023.103067
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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. Xiaobei Shen & Lina Bao & Yimin Yu, 2018. "Coordinating Inventory and Pricing Decisions with General Price‐Dependent Demands," Production and Operations Management, Production and Operations Management Society, vol. 27(7), pages 1355-1367, July.
    3. Alain Bensoussan & Yangyang Xie & Houmin Yan, 2019. "Joint Inventory‐Pricing Optimization with General Demands: An Alternative Approach for Concavity Preservation," Production and Operations Management, Production and Operations Management Society, vol. 28(9), pages 2390-2404, September.
    4. Chih-Te Yang & Liang-Yuh Ouyang & Hsing-Han Wu, 2009. "Retailer's Optimal Pricing and Ordering Policies for Non-Instantaneous Deteriorating Items with Price-Dependent Demand and Partial Backlogging," Mathematical Problems in Engineering, Hindawi, vol. 2009, pages 1-18, November.
    5. Jian Hu & Junxuan Li & Sanjay Mehrotra, 2019. "A Data-Driven Functionally Robust Approach for Simultaneous Pricing and Order Quantity Decisions with Unknown Demand Function," Operations Research, INFORMS, vol. 67(6), pages 1564-1585, November.
    6. Sayarshad, Hamid R. & Gao, H. Oliver, 2018. "A non-myopic dynamic inventory routing and pricing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 109(C), pages 83-98.
    7. Qi Feng & Sirong Luo & J. George Shanthikumar, 2020. "Integrating Dynamic Pricing with Inventory Decisions Under Lost Sales," Management Science, INFORMS, vol. 66(5), pages 2232-2247, May.
    8. Xin Chen & Zhan Pang & Limeng Pan, 2014. "Coordinating Inventory Control and Pricing Strategies for Perishable Products," Operations Research, INFORMS, vol. 62(2), pages 284-300, April.
    9. Polatoglu, Hakan & Sahin, Izzet, 2000. "Optimal procurement policies under price-dependent demand," International Journal of Production Economics, Elsevier, vol. 65(2), pages 141-171, April.
    10. Yi Yang & Youhua (Frank) Chen & Yun Zhou, 2014. "Coordinating Inventory Control and Pricing Strategies Under Batch Ordering," Operations Research, INFORMS, vol. 62(1), pages 25-37, February.
    11. Li, Mengmeng & Mizuno, Shinji, 2022. "Comparison of dynamic and static pricing strategies in a dual-channel supply chain with inventory control," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).
    12. Qi Feng & J. George Shanthikumar, 2022. "Applications of Stochastic Orders and Stochastic Functions in Inventory and Pricing Problems," Production and Operations Management, Production and Operations Management Society, vol. 31(4), pages 1433-1453, April.
    13. Yuyue Song & Saibal Ray & Tamer Boyaci, 2009. "Technical Note---Optimal Dynamic Joint Inventory-Pricing Control for Multiplicative Demand with Fixed Order Costs and Lost Sales," Operations Research, INFORMS, vol. 57(1), pages 245-250, February.
    14. Sirong Luo & Jianrong Wang, 2017. "A technical note on the dynamic nonstationary inventory-pricing control model with lost sale," International Journal of Production Research, Taylor & Francis Journals, vol. 55(19), pages 5816-5825, October.
    15. Boxiao Chen & Xiuli Chao & Cong Shi, 2021. "Nonparametric Learning Algorithms for Joint Pricing and Inventory Control with Lost Sales and Censored Demand," Mathematics of Operations Research, INFORMS, vol. 46(2), pages 726-756, May.
    16. Zheng, Qi & Zhou, Li & Fan, Tijun & Ieromonachou, Petros, 2019. "Joint procurement and pricing of fresh produce for multiple retailers with a quantity discount contract," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 16-36.
    17. Maihami, Reza & Govindan, Kannan & Fattahi, Mohammad, 2019. "The inventory and pricing decisions in a three-echelon supply chain of deteriorating items under probabilistic environment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 118-138.
    18. 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.
    19. Youhua (Frank) Chen & Saibal Ray & Yuyue Song, 2006. "Optimal pricing and inventory control policy in periodic‐review systems with fixed ordering cost and lost sales," Naval Research Logistics (NRL), John Wiley & Sons, vol. 53(2), pages 117-136, March.
    20. Woonghee Tim Huh & Ganesh Janakiraman, 2008. "( s, S ) Optimality in Joint Inventory-Pricing Control: An Alternate Approach," Operations Research, INFORMS, vol. 56(3), pages 783-790, June.
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