易变质产品竞争性供应链的最优定价策略
Optimal Pricing Strategy for Competitive Supply Chain of Deteriorating Items
DOI: 10.12677/mse.2025.145109, PDF,    科研立项经费支持
作者: 袁 晓：岭南师范学院数学与统计学院，广东 湛江
关键词: 竞争供应链；易变质产品；逆向求解法；最优定价策略；Competitive Supply Chain； Deteriorating Item； Reverse Solving Method； Optimal Pricing Strategy
摘要: 本文针对由供应商和零售商构成的两条竞争性供应链，考虑产品易变质的特性，构造了三种不同的竞争结构模型。通过逆向求解法，分别推导了分散决策和集中决策下这三种模型的最优定价策略，并进行了参数敏感性分析，研究结果表明三种结构模型中都是集中决策下的总利润大于分散决策的总利润。
Abstract: Considering the special property of product spoilage, three different competitive structure models are constructed for two competitive supply chains consisting of suppliers and retailers. Through the reverse solving method, the optimal pricing strategies for these three models under decentralized and centralized decision-making are derived, and parameter sensitivity analysis is conducted. The research results show that the total profit under centralized decision-making was greater than that under decentralized decision-making in all three structural models.
文章引用：袁晓. 易变质产品竞争性供应链的最优定价策略[J]. 管理科学与工程, 2025, 14(5): 950-959. https://doi.org/10.12677/mse.2025.145109

参考文献

[1] Ghare, P.M. and Schrader, G.F. (1963) A Model for Exponentially Decaying Inventories. The Journal of Industrial Engineering, 14, 238-243.
[2] Whitin, T.M. (1957) The Theory of Inventory Management. Princeton University Press, 135-146.
[3] Nahmias, S. (1975) Optimal Ordering Policies for Perishable Inventory-II. Operations Research, 23, 735-749. [Google Scholar] [CrossRef] 
[4] Fries, B. (1975) Optimal Ordering Policy for a Perishable Commodity with Fixed Lifetime. Operations Research, 23, 46-61. [Google Scholar] [CrossRef] 
[5] Silver, E.A. and Peterson, R. (1985) Decision Systems for Inventory Management and Production Planning. John Wiley & Sons, 125-132.
[6] Gallego, G. and van Ryzin, G. (1994) Optimal Dynamic Pricing of Inventories with Stochastic Demand over Finite Horizons. Management Science, 40, 999-1020. [Google Scholar] [CrossRef] 
[7] Feng, Y. and Xiao, B. (2000) Optimal Policies of Yield Management with Multiple Predetermined Prices. Operations Research, 48, 332-343. [Google Scholar] [CrossRef] 
[8] Bogataj, M. and Bogataj, L. (2007) On the Supply Chain of Perishable Goods under Stochastic Demand. International Journal of Production Economics, 108, 345-351. [Google Scholar] [CrossRef] 
[9] Amorim, P., Günther, H.-O. and Almada-Lobo, B. (2012) Multi-Objective Integrated Production and Distribution Planning of Perishable Products. International Journal of Production Economics, 138, 89-101. [Google Scholar] [CrossRef] 
[10] Cachon, G.P. (2003) Supply Chain Coordination with Contracts. Handbooks in Operations Research and Management Science, 11, 227-339. [Google Scholar] [CrossRef] 
[11] Accorsi, R., Manzini, R. and Maranesi, A. (2017) Designing Sustainable Cold Chains for Long-Range Food Distribution: Energy-Efficient Corridors. International Journal of Production Economics, 189, 57-65.
[12] Soysal, M., Bloemhof-Ruwaard, J.M., Haijema, R. and van der Vorst, J.G.A.J. (2018) Closed-Loop Supply Chain Models for Perishable Products with Freshness and Sustainability Efforts. European Journal of Operational Research, 270, 559-573.
[13] Ferguson, M.E., Gaur, V., Lewis, M.D. and Moreno, A. (2019) Machine Learning for Demand Forecasting in Perishable Goods Supply Chains. Production and Operations Management, 28, 1234-1252.
[14] Ivanov, D. (2021) Supply Chain Resilience in the Pandemic: The Case of Perishable Goods. International Journal of Production Research, 59, 4815-4831.
[15] Herbon, A. (2018) Consumer Behavior-Based Pricing for Perishable Products. European Journal of Operational Research, 267, 996-1008.
[16] Wang, X., Ou, J., Ma, S. and Gong, Y. (2022) Omni-Channel Inventory Optimization for Fresh E-Commerce. Transportation Research Part E: Logistics and Transportation Review, 158, 102-634.

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