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Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

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PUBLISHED
30.09.2022
DOI
https://doi.org/10.7307/ptt.v34i5.4092
ISSUE
2022 (Vol 34), Issue 5
LICENSE
Copyright (c) 2024 Ning Yang, Yingzi Ding, Junge Leng, Lei Zhang
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This work is licensed under a
Creative Commons Attribution-NonCommercial-
NoDerivatives 4.0 International License.

Supply Chain Information Collaborative Simulation Model Integrating Multi-Agent and System Dynamics

Authors:Ning Yang, Yingzi Ding, Junge Leng, Lei Zhang

Abstract

Supply chain collaboration management is a systematic, integrated and agile advanced management mode, which helps to improve the competitiveness of enterprises and the entire supply chain. In order to realise the synergy of supply chain, the most important is to realise the dynamic synergy of information. Here we proposed a strategy to integrate system dynamics and multi-agent system modelling methods. Based on the strategy of supply chain information sharing and coordination, a two-level aggregation hybrid model was designed and established. Through the computer simulation analysis of the two modes before and after information collaboration, it is found that under the information collaboration mode, the change trend of order or inventory of suppliers and manufacturers always closely matches that of retailers. After the implementation of supply chain information coordination, ordering and inventory can be reasonably planned and matched, and problems such as over-stocking or short-term failure to meet order demands caused by poor information communication will no longer occur, which can greatly reduce the “bullwhip effect”.

Keywords:supply chain management, information collaboration, multi-agent, system dynamics, computer simulation

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