Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Ful
DOI: 10.1109/hicss.1999.772926
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A new approach to solve supply chain management problem by integrating multi-agent technology and constraint network

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Cited by 20 publications
(11 citation statements)
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“…And multi-agent technology combined with the Internet and constraint networks have been used to provide methods for dealing with unanticipated supply chain fluctuations (Yung and Yang, 1999). Intelligent agents in the context of distributed computing environments must address emerging research aspects including the dynamic evolution of web sources and the need for new measurement constructs to assess performance, uncertainty and return on investment (March, Hevner, and Ram, 2000).…”
Section: Related Workmentioning
confidence: 99%
“…And multi-agent technology combined with the Internet and constraint networks have been used to provide methods for dealing with unanticipated supply chain fluctuations (Yung and Yang, 1999). Intelligent agents in the context of distributed computing environments must address emerging research aspects including the dynamic evolution of web sources and the need for new measurement constructs to assess performance, uncertainty and return on investment (March, Hevner, and Ram, 2000).…”
Section: Related Workmentioning
confidence: 99%
“…Presently the prevailing opinion is that an agent must exhibit three important general characteristics: autonomy, adaptation, and cooperation [8,12,13]. Autonomy means that agents have their own agenda of goals and exhibit goaldirected behaviour.…”
Section: The Concept Of Agents and Masmentioning
confidence: 99%
“…In supply chain management, Yung and Yang [28] proposed the integration of multiagent technology and constraint network for solving supply chain management problems. Yan, Yen, and Bui [29] developed a multiagent-based negotiation support system for distributed electric power transmission cost allocation based on a network flow model and KQML.…”
Section: Literature Reviewmentioning
confidence: 99%