考虑定价和需求关系的供应链网络优化研究

doi:10.16381/j.cnki.issn1003-207x.2020.10.016

中国管理科学 ›› 2020, Vol. 28 ›› Issue (10): 165-171.doi: 10.16381/j.cnki.issn1003-207x.2020.10.016

考虑定价和需求关系的供应链网络优化研究

胡鸿韬¹, 边迎迎¹, 郭书源¹, 王帅安², 严伟¹

1. 上海海事大学物流工程学院, 上海 201306;
2. 香港理工大学物流及航运学系, 香港 999077

收稿日期:2018-03-31 修回日期:2019-04-23 出版日期:2020-10-20 发布日期:2020-11-11
通讯作者: 王帅安(1984-),男(汉族),山东青岛人,香港理工大学工商管理学院物流及航运学系,副教授,研究方向:供应链管理、集装箱物流、多式联运、交通工程,E-mail:hans.wang@polyu.edu.hk. E-mail:hans.wang@polyu.edu.hk
基金资助:
国家自然科学基金资助项目（71771143）；上海海事大学研究生创新基金资助项目（YXR2017057）

Research on Supply Chain Network Optimization with the Relationship of Pricing and Demand

HU Hong-tao¹, BIAN Ying-ying¹, GUO Shu-yuan¹, WANG Shuai-an², YAN Wei¹

1. School of Logistics Engineering, Shanghai Maritime University, Shanghai 201306, China;
2. Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Hong Kong 999077, China

Received:2018-03-31 Revised:2019-04-23 Online:2020-10-20 Published:2020-11-11

摘要/Abstract

摘要： 本文通过引入价格-需求函数描述产品价格变化对消费者需求的影响，构建了一个由制造商、仓库和消费者组成的三级供应链网络。在此基础上，以最大化供应链总利润为目标、以定价和需求为决策变量，建立了混合整数非线性规划（MINLP）模型。基于该模型目标函数非线性的复杂性，采用外部近似法将目标函数近似线性化，即切割成有限条切线，使其可以求解。最后通过不同规模的算例分析验证了模型和算法的可行性与有效性，从而指导供应链上的企业权衡其成本和收益，提高顾客的满意度。

关键词: 供应链网络, 价格-需求函数, 非线性规划, 外部近似法

Abstract: In the supply chain network, prices have a large impact on the consumer demand and profits. In this paper, a price-demand function is introduced to describe the effect of the changing price on consumer demand. Then a three-level supply chain network is constructed which constitutes manufacturer, warehouses, and consumers. By considering the pricing and demand as decision variables, a mixed integer nonlinear programming (MINLP) model is established, which aims to maximize the total profit of the supply chain. To address the MINLP model, the nonlinear objective function is firstly transformed into a nonlinear constraint. Then the nonlinear constraint is approximated by a finite number of tangents by using the outer-approximation method. Finally, a set of linear constraints are added into the model to replace the nonlinear constraint; hence the MINLP model is approximated by a mixed integer linear programming model. Although the scale of the model increases because of linearization, numerical experiments show that the outer-approximation method can still find the optimal solution of the problem on realistic-sized instances in a short time. The proposed model can guide the enterprises in the supply chain to balance the costs and benefits and to improve the customer satisfaction.

Key words: supply chain network, price-demand function, nonlinear programming, outer-approximation method

中图分类号:

F224
F274

胡鸿韬, 边迎迎, 郭书源, 王帅安, 严伟. 考虑定价和需求关系的供应链网络优化研究[J]. 中国管理科学, 2020, 28(10): 165-171.

HU Hong-tao, BIAN Ying-ying, GUO Shu-yuan, WANG Shuai-an, YAN Wei. Research on Supply Chain Network Optimization with the Relationship of Pricing and Demand[J]. Chinese Journal of Management Science, 2020, 28(10): 165-171.

参考文献

[1] 滕春贤, 胡引霞, 周艳山. 具有随机需求的供应链网络均衡应对突发事件[J]. 系统工程理论与实践, 2009, 29(3):16-20.
[2] Fattahi M, Mahootchi M, Govindan K, et al. Dynamic supply chain network design with capacity planning and multi-period pricing[J]. Transportation Research Part E, 2015, 81:169-202.
[3] 陈芳, 单而芳, 郭传好. 匹配理论下乳制品供应链网络设计与成本优化研究[J]. 中国管理科学, 2015,23(s1):610-616.
[4] 郭传好, 陈芳, 单而芳. 短生命周期乳制品供应链网络成本与收益优化研究[J]. 中国管理科学, 2017, 25(2):87-97.
[5] 王熹徽, 李峰, 粱樑. 救灾物资供应网络解构及结构优化模型[J]. 中国管理科学, 2017, 25(1):139-150.
[6] 万仲平, 侯阔林, 程露,等. 报童问题的扩展模型[J]. 武汉大学学报(理学版), 2008, 54(3):259-266.
[7] Zhang Shuzhong. On a profit maximizing location model[J]. Annals of Operations Research, 2001, 103(1-4):251-260.
[8] Shen Z J M. A profit-maximizing supply chain network design model with demand choice flexibility[J]. Operations Research Letters, 2006, 34(6):673-682.
[9] Ahmadi-Javid A, Ghandali R. An efficient optimization procedure for designing a capacitated distribution network with price-sensitive demand[J]. Optimization & Engineering, 2014, 15(3):801-817.
[10] Ahmadi-Javid A, Hoseinpour P. Incorporating location, inventory and price decisions into a supply chain distribution network design problem[J]. Computers & Operations Research, 2015, 56(56):110-119.
[11] Talluri K T, Van Ryzin G J. The theory and practice of revenue management[M]. Springer US, 2005.
[12] 杨道箭, 齐二石, 姜宏. 基于顾客策略行为的供货水平与供应链绩效[J]. 计算机集成制造系统, 2010, 16(9):1984-1991.
[13] Sahling F, Kayser A. Strategic supply network planning with vendor selection under consideration of risk and demand uncertainty[J]. Omega, 2016, 59:201-214.
[14] 徐家旺, 黄小原. 市场供求不确定供应链的多目标鲁棒运作模型[J]. 系统工程理论与实践, 2006, 26(6):35-40.
[15] Du Yuquan, Chen Qiushuang, Quan Xiongwen, et al. Berth allocation considering fuel consumption and vessel emissions[J]. Transportation Research Part E, 2011, 47(6):1021-1037.
[16] Wang Shuaian, Meng Qiang, Liu Zhiyuan. Containership scheduling with transit-time-sensitive container shipment demand[J]. Transportation Research Part B, 2013, 54(3):68-83.

考虑定价和需求关系的供应链网络优化研究

Research on Supply Chain Network Optimization with the Relationship of Pricing and Demand

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