Abstract
The value net creates a network of suppliers, and distributors such that the product becomes customer centric. In order to implement the value net model, information processing and distribution need to occur in real time. Software agent technology is becoming popular due to the inherent characteristics of autonomy, distributedness and modularity. In this reserach, we adopt agent technology to handle all real time decision processes, making the value net model a complex multi-agent network of decision makers. For the agents to properly coordinate their respective activities we develop Valcomm, a Web-based multi-agent language grounded in the XML and Java. Such a system will enhance the overall performance of all the participating organizations. Valcomm will truly implement extended enterprises.
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References
Bovet, D., and J. Martha. Value Nets: Breaking the supply chain to unlock hidden profits. John Wiley and Sons, Inc: New York, New York, 2000.
Balakrishnan, A., S. Kumara, and S. Sundaresan. Manufacturing in the digital age: Exploiting information technologies for product realization. Information systems frontier. Vol. 1, No. 1, 25–50. July 1999.
Collins, J., C. Billot, and B. Mobasher. Decision processes in agent-based automated contracting. IEEE Internet computing. March–April. 61–72. 2001.
Fox, M.S., J.F. Chionglo, and M. Barbuceanu. The integrated supply chain management system. http://www.eil.utoronto.ca/ Department of Industrial Engineering, University of Toronto, Toronto, Ontario, Canada, 1993.
Hinkkanen, A., R. Kalkota, P. Saengharoenrat, J. Stallaert, and A.B. Whinston. Distributed decision support systems for real time supply chain management using agent technologies, Working Paper, University of Texas, Austin, Texas, 1998.
Kalakota, R., J. Stallaert, and A.B. Whinston. Implementing realtime supply chain optimization systems. 1996.
Huhns, M.N., and L.M. Stephens. Automating supply chain. IEEE Internet computing. July–August. 90–93. 2001.
Rao, A.S. and M. Georgeff. BDI Agents: from theory to practice. In Proceedings of the First International Conference on Multi-Agent Systems (ICMAS-95). pages 312–319, San Francisco, CA, June 1995.
Satapathy, G., and S.R.T. Kumara. Semantics of KQML Messages based on illocutionary acts and BDI model of an agent. Working Paper Series, Department of Industrial and Manufacturing Engineering, Pennsylvania State University, University Park, PA, 1999.
Yung, S.K., and C. C. Yang. A new approach to solve supply chain management problem by integrating multi-agent technology and constraint network. In Proceedings of the 32 nd Hawaii International Conference on System Sciences (ICSS), March, 1999.
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Kumara, S.R.T., Dodd, C., Kim, T. (2003). Web-Based Distributed Multi-Agent Architecture for Implementing Value Nets. In: Prabhu, V., Kumara, S., Kamath, M. (eds) Scalable Enterprise Systems. Integrated Series in Information Systems, vol 3. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0389-7_10
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DOI: https://doi.org/10.1007/978-1-4615-0389-7_10
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