Paper
23 May 2023 Research on inventory control of dual-channel supply chain based on multi-agent
Hongsheng Sun, Hao Zhang, Jing Liu
Author Affiliations +
Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 126454R (2023) https://doi.org/10.1117/12.2681116
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China
Abstract
With the rapid development of e-commerce, more and more enterprises are committed to online and offline dual-channel operation. The emergence of dual-channel supply chain increases the difficulty of supply chain management. This paper deeply discusses the inventory problem in dual-channel supply chain. Based on the multi-agent method, this paper constructs the supply chain inventory model and uses Anylogic software for simulation. It discussed the dual-channel supply chain under the centralized and decentralized inventory control modes respectively, to study the optimal inventory decision of dual-channel supply chain members when consumers have the behaviors of free riding, changing channels, and giving up buying. And compared the supply chain operating under the two modes. It is found that under the premise of the same market demand, the total profit of a centralized dual-channel supply chain is slightly greater than that of a decentralized dual-channel supply chain, its average inventory level and customer turnover are also better than a decentralized.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hongsheng Sun, Hao Zhang, and Jing Liu "Research on inventory control of dual-channel supply chain based on multi-agent", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 126454R (23 May 2023); https://doi.org/10.1117/12.2681116
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KEYWORDS
Manufacturing

Data modeling

Transportation

Safety

Curium

Decision making

Control systems

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