Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

Research Article

Supply Chain Model Design and Simulation Analysis for Supply Information Sharing

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  • @INPROCEEDINGS{10.4108/eai.27-10-2023.2341992,
        author={Xu  Wang},
        title={Supply Chain Model Design and Simulation Analysis for Supply Information Sharing},
        proceedings={Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27--29, 2023, Tianjin, China},
        publisher={EAI},
        proceedings_a={ICEMBDA},
        year={2024},
        month={1},
        keywords={sharing of supply information,order distribution,benefits optimization},
        doi={10.4108/eai.27-10-2023.2341992}
    }
    
  • Xu Wang
    Year: 2024
    Supply Chain Model Design and Simulation Analysis for Supply Information Sharing
    ICEMBDA
    EAI
    DOI: 10.4108/eai.27-10-2023.2341992
Xu Wang1,*
  • 1: Tianjin University of Technology
*Contact email: 1471075803@qq.com

Abstract

A reasonable and effective supply chain system can largely improve the core competitiveness of enterprises and enhance the operational efficiency of the supply chain. This paper qualitatively and quantitatively analyzes the impact of whether suppliers share supply information on manufacturers' order allocation strategy, considers the decision-making process of suppliers, retailers and manufacturers, and constructs a supply information sharing model on this basis to study the cost and profit changes of manufacturers and suppliers. Then simulations were carried out using matlab software. The results prove that information sharing can optimize the manufacturer's order allocation strategy, reduce the manufacturer's production cost and increase the proportion of profit in sales revenue. Supply information sharing is conducive to optimizing the cost and profit of supply chain node enterprises, and the model can be applied to the supply chain management of other enterprises in order to improve the operational efficiency of enterprises and improve the supply chain management system.