集成多智能体和系统动力学的供应链信息协同仿真模型

IF 0.8 4区 工程技术 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY Promet-Traffic & Transportation Pub Date : 2022-09-30 DOI:10.7307/ptt.v34i5.4092
Ning Yang, Ying-Jan Ding, Junge Leng, Lei Zhang
{"title":"集成多智能体和系统动力学的供应链信息协同仿真模型","authors":"Ning Yang, Ying-Jan Ding, Junge Leng, Lei Zhang","doi":"10.7307/ptt.v34i5.4092","DOIUrl":null,"url":null,"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”.","PeriodicalId":54546,"journal":{"name":"Promet-Traffic & Transportation","volume":"60 1","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Supply Chain Information Collaborative Simulation Model Integrating Multi-Agent and System Dynamics\",\"authors\":\"Ning Yang, Ying-Jan Ding, Junge Leng, Lei Zhang\",\"doi\":\"10.7307/ptt.v34i5.4092\",\"DOIUrl\":null,\"url\":null,\"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”.\",\"PeriodicalId\":54546,\"journal\":{\"name\":\"Promet-Traffic & Transportation\",\"volume\":\"60 1\",\"pages\":\"\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2022-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Promet-Traffic & Transportation\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.7307/ptt.v34i5.4092\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"TRANSPORTATION SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Promet-Traffic & Transportation","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.7307/ptt.v34i5.4092","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"TRANSPORTATION SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

供应链协同管理是一种系统化、集成化、敏捷化的先进管理模式,有助于提高企业和整个供应链的竞争力。要实现供应链的协同,最重要的是实现信息的动态协同。在此,我们提出了一种将系统动力学和多智能体系统建模方法相结合的策略。基于供应链信息共享与协调策略,设计并建立了两级聚合混合模型。通过对信息协作前后两种模式的计算机仿真分析,发现在信息协作模式下,供应商和制造商的订单或库存变化趋势始终与零售商的订单或库存变化趋势密切匹配。实施供应链信息协调后,订货和库存可以合理规划和匹配,不再出现因信息沟通不畅而导致库存过剩或短期无法满足订单需求等问题,可以大大降低“牛鞭效应”。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Supply Chain Information Collaborative Simulation Model Integrating Multi-Agent and System Dynamics
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”.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Promet-Traffic & Transportation
Promet-Traffic & Transportation 工程技术-运输科技
CiteScore
1.90
自引率
20.00%
发文量
62
审稿时长
3 months
期刊介绍: This scientific journal publishes scientific papers in the area of technical sciences, field of transport and traffic technology. The basic guidelines of the journal, which support the mission - promotion of transport science, are: relevancy of published papers and reviewer competency, established identity in the print and publishing profile, as well as other formal and informal details. The journal organisation consists of the Editorial Board, Editors, Reviewer Selection Committee and the Scientific Advisory Committee. The received papers are subject to peer review in accordance with the recommendations for international scientific journals. The papers published in the journal are placed in sections which explain their focus in more detail. The sections are: transportation economy, information and communication technology, intelligent transport systems, human-transport interaction, intermodal transport, education in traffic and transport, traffic planning, traffic and environment (ecology), traffic on motorways, traffic in the cities, transport and sustainable development, traffic and space, traffic infrastructure, traffic policy, transport engineering, transport law, safety and security in traffic, transport logistics, transport technology, transport telematics, internal transport, traffic management, science in traffic and transport, traffic engineering, transport in emergency situations, swarm intelligence in transportation engineering. The Journal also publishes information not subject to review, and classified under the following headings: book and other reviews, symposia, conferences and exhibitions, scientific cooperation, anniversaries, portraits, bibliographies, publisher information, news, etc.
期刊最新文献
Selecting the Flexible Last-Mile Delivery Models Using Multicriteria Decision-Making Passenger Queuing Analysis Method of Security Inspection and Ticket-Checking Area without Archway Metal Detector in Metro Stations Environmental Sustainability and Freight Transport Performance in the EU – An Autoregressive Conditional Heteroscedasticity (ARCH) Model Analysis Use of Structural Equation Modelling and Neural Network to Analyse Shared Parking Choice Behaviour Prediction of Electric Vehicle Energy Consumption in an Intelligent and Connected Environment
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1