A Simulation-Based Study on the Optimal Pricing Strategy of Supply Chain System

被引:1
作者
Li, Yuxian [1 ,2 ]
Wang, Jiuhe [1 ]
机构
[1] Yanshan Univ, Sch Econ & Management, Qinhuangdao 066004, Peoples R China
[2] Qinhuangdao Vocat & Tech Coll, Dept Business & Trade, Qinhuangdao 066100, Peoples R China
关键词
supply chain; multi-agent modeling; pricing strategy; communication delay; consistency; DECISIONS; PRODUCTS; POLICIES;
D O I
10.3390/su151411307
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this paper, the utility function model is applied to study the pricing strategy and order/production strategy of a two-echelon supply chain. Through local point-to-point communication between multi-agents and considering the random communication delay of the system, the utility function is maximized based on the consistency theory, and the optimal price and order quantity are determined. The proposed algorithm is distributed and collaborative, which avoids the centralized demand for all node information and the drawbacks of system paralysis caused by node failure. In addition, we carried out a numerical simulation to verify the theoretical results and demonstrate the effectiveness of the multi-agent consensus theory in the stable operation of supply and demand within a supply chain when there is a random communication delay and the sudden failure of a supply chain enterprise. It further explains how the coefficient of consumer sensitivity to price affects pricing and order/production strategies.
引用
收藏
页数:16
相关论文
共 32 条
[1]   Effects of the pricing and cooperative advertising policies in a two-echelon dual-channel supply chain [J].
Chen, Tsung-Hui .
COMPUTERS & INDUSTRIAL ENGINEERING, 2015, 87 :250-259
[2]  
Colub G.H., 2009, Matrix Computations, P359
[3]   Channel bargaining with retailer asymmetry [J].
Dukes, AJ ;
Gal-Or, E ;
Srinivasan, K .
JOURNAL OF MARKETING RESEARCH, 2006, 43 (01) :84-97
[4]  
Ferguson ME, 2006, PROD OPER MANAG, V15, P351, DOI 10.1111/j.1937-5956.2006.tb00250.x
[5]  
Fox Mark S., 1993, Technical Report
[6]   Agent-oriented supply-chain management [J].
Fox, MS ;
Barbuceanu, M ;
Teigen, R .
INTERNATIONAL JOURNAL OF FLEXIBLE MANUFACTURING SYSTEMS, 2000, 12 (2-3) :165-188
[7]   Agent-based supply-chain planning in the forest products industry [J].
Frayret, J. -M. ;
D'Amours, S. ;
Rousseau, A. ;
Harvey, S. ;
Gaudreault, J. .
INTERNATIONAL JOURNAL OF FLEXIBLE MANUFACTURING SYSTEMS, 2007, 19 (04) :358-391
[8]   Improving performance by coordinating a supply chain with third party logistics outsourcing under production disruption [J].
Giri, B. C. ;
Sarker, B. R. .
COMPUTERS & INDUSTRIAL ENGINEERING, 2017, 103 :168-177
[9]   Pricing strategy and order quantity allocation with price-sensitive demand in three-echelon supply chain [J].
Hanh, Nguyen Thi My ;
Chen, Jen Ming ;
Van Hop, Nguyen .
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 206
[10]  
Hossein M., 2023, Expert Syst. Appl, V228, P120423