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Title: Automating Supply-Chain Management
Author: Michael N. Huhns, Larry M. Stephens, and Nenad Ivezic
Book Tittle: Proceedings of the First Intenational Joint Conference on Autonomous Agents and Multiagent Systems
Pages: 1017--1024
Publisher: ACM Press, New York, NY
Year: 2002
Abstract: This paper explores a linguistic approach to coordination modeling as a formal basis for supply-chain management (SCM) in manufacturing. The approach promotes the interchange of standard documents: enterprises need only describe their supply processes using OAG business object documents and UML interaction diagrams. Our methodology and tools analyze the documents and interactions in terms of four linguistic primitives and convert the diagrams into specifications and implementations of software agents. The agents then cooperate in automating the resultant supply chain. We evaluate our methodology in the context of several industrial scenarios. We conclude that supply-chain automation using software-agent technology is feasible.

Cited by 22  -  Google Scholar

@InProceedings{huhns02a,
  author =	 {Michael N. Huhns and Larry M. Stephens and Nenad
                  Ivezic},
  title =	 {Automating Supply-Chain Management},
  googleid =	 {W0qx4_1owC0J:scholar.google.com/},
  booktitle =	 {Proceedings of the First Intenational Joint
                  Conference on Autonomous Agents and Multiagent
                  Systems},
  pages =	 {1017--1024},
  year =	 2002,
  address =	 {Bologna, Italy},
  publisher =	 {{ACM} Press, New York, NY},
  abstract =	 {This paper explores a linguistic approach to
                  coordination modeling as a formal basis for
                  supply-chain management (SCM) in manufacturing. The
                  approach promotes the interchange of standard
                  documents: enterprises need only describe their
                  supply processes using OAG business object documents
                  and UML interaction diagrams. Our methodology and
                  tools analyze the documents and interactions in
                  terms of four linguistic primitives and convert the
                  diagrams into specifications and implementations of
                  software agents. The agents then cooperate in
                  automating the resultant supply chain. We evaluate
                  our methodology in the context of several industrial
                  scenarios. We conclude that supply-chain automation
                  using software-agent technology is feasible.},
  keywords =     {multiagent workflow},
  url =		 {http://jmvidal.cse.sc.edu/library/huhns02a.pdf},
  cluster = 	 {3296750366891264603}
}
Last modified: Wed Mar 9 10:15:31 EST 2011