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Article

Collaborative system model construction and simulation optimization of e-commerce enterprise supply chain

Received 14 Nov 2023, Accepted 08 Jun 2024, Published online: 21 Jun 2024
 

ABSTRACT

With the rise and rapid development of the e-commerce industry, the pressure borne by the supply chain of e-commerce enterprises is increasing, which greatly increases the complexity and uncertainty of inventory management in the e-commerce supply chain. The study integrates system dynamics and collaborative supply chain inventory management to construct a new model. The study first uses the concept of system dynamics to optimize the supply chain inventory management system; then the collaborative supply chain is used to construct a system model by combining the optimized management system. The results show that the collaborative supply chain inventory management model constructed by the study can better accelerate the product turnover rate, improve the overall operational efficiency and market competitiveness of the supply chain, and can provide new support for the development of e-commerce enterprises.

Graphical abstract

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

No Data associated in the manuscript.

Additional information

Notes on contributors

Xingchang Yang

Xingchang Yang received his M. S. degree in Management from Zhejiang University, Hangzhou, China, in 2006. He is currently an Associate Professor and Party Secretary of the School of Information Engineering (School of Software) at Henan University of Animal Husbandry and Economy, Zhengzhou, China. Since 2010, he has been a director of the Henan Network Marketing Association. He has been invited as a resource person to deliver technical talks on E-commerce, supply chain management, and intelligent decision-making at various academic conferences and forums. Mr. Yang has published 11 papers in academic journals. His research interests include E-commerce for agricultural products, optimization of supply chain system structure, and control of complex networks.

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