首页    期刊浏览 2024年11月28日 星期四
登录注册

文章基本信息

  • 标题:Multi-agent Collaboration Engine for Supply Chain Management
  • 本地全文:下载
  • 作者:Sandeep Garg ; Dr. S.Srinivasan ; Vivek Jaglan
  • 期刊名称:International Journal on Computer Science and Engineering
  • 印刷版ISSN:2229-5631
  • 电子版ISSN:0975-3397
  • 出版年度:2011
  • 卷号:3
  • 期号:7
  • 页码:2765-2773
  • 出版社:Engg Journals Publications
  • 摘要:To improve the performance of Supply chain decisions (SCM) , agents technology is slowly becoming the best alternative . In general , most of the components in SCM work in isolation and achieving coordination among SCM partners turns out to be a difficult proposition . But in a multi-agent system (MAS) , an agent while making a local optimal decision , it sees how it will effect the other agents and in case required it coordinates with other agents to workout for a new alternative . In SCM , what is required is how to improve the performance . Today SCM needs to work in coordination with various like minded organizations to produce and supply to multiple market . In such circumstance MAS ,with beneficial features like autonomous , collaborative , coordinate and intelligence with ability to work in a distributed environment provides a best platform to make SCM performing at its best . The project aims to propose an integrated frame work based on multi-agent collaboration and case-based reasoning that can resolve various collaboration issue in supply chain. To show the frame work�s feasibility, we implement a prototype system(multi-agent collaboration Engine supply chain management) MACESCM. MACE-SCM provides more flexible and extensible solution to help address emerging uncertainties.
  • 关键词:Multi-agent; Case-Based Reasoning; RDQL (Retrieval Data Query Language)
国家哲学社会科学文献中心版权所有