Skip to main content
SpringerLink
Log in

A Distributed Multi-agent Model for Value Nets

  • Conference paper
  • First Online:
Engineering of Intelligent Systems (IEA/AIE 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2070))

Abstract

In this paper, we discuss an agent based solution strategy to the new customer centric economy created by the Internet. This solution strategy includes changing the current supply chain model into a value net model that is driven by the customer and coordinated by a complex multi-agent network. To coordinate all activity within the multi-agent value net a new agent based communication language based on the Extensible Markup Language (XML) is proposed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Barbuceanu, M., and M. S. Fox: Coordinating Multiple Agents in the Supply Chain. Proceedings of WET ICE, (1996).

    Google Scholar 

  • Barbuceanu, M., and M. S. Fox: The architecture of an agent based infrastructure for agile manufacturing. http://www.eil.utoronto.ca/, Department of Industrial Engineering, University of Toronto, Toronto, Ontario, Canada.

  • Berry, N. M.: Reagere: A Hybrid Multi-Agent Architecture for Manufacturing. Doctoral Thesis, Department of Industrial and Manufacturing Engineering, Pennsylvania State University (1997).

    Google Scholar 

  • 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).

    Google Scholar 

  • Carlson, D.: Component Interoperability with XML. Component Strategies, October, (1998).

    Google Scholar 

  • Ferber, J.: Multi-Agent systems an introduction to distributed artificial intelligence. Addison-Wesley, Harlow, England, (1999).

    Google Scholar 

  • 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).

    Google Scholar 

  • Gerhard, W. ed.: Multiagent Systems A Modern Approach to Distributed Artificial Intelligence. Cambridge: The MIT Press (1999).

    Google Scholar 

  • Gmytrasiewicz, P., and M. N. Huhns: The Emergence of Language Among Autonomous Agents. IEEE Internet Computing, July-August, 90-92 (2000).

    Google Scholar 

  • Hinkkanen, R. Kalakota, P. Saengcharoenrat, J. Stalaert, A. B. Whinston: Distributed Decision Support Systems for Real Time Supply Chain Management using Agent Technologies. Working Paper, (1997).

    Google Scholar 

  • Jennings, N. H., K. Sycara, and M. Wooldridge: A Roadmap of Agent Research and Developement. Autonomous Agents and Multi-Agent Systems, 1, 7–38 (1998).

    Article  Google Scholar 

  • Kalakota, R., J. Stallaert, A. B. Whinston: Implementing real-time supply chain optimization systems. http://crec.bus.utexas.edu/jan/sc imp.html (1996).

  • Kulkarni, V. G., and N. Gautam: Intelligent software supply chain agents using ADE. Proceedings of AI and Manufacturing Research Planning Workshop, Albuquerque, NM (1998).

    Google Scholar 

  • Lin, Y.: An Agent-Based Framework for Business Process Integration with Application to Complex Order Management. Master of Science Thesis, Department of Industrial and Manufacturing Engineering, Pennsylvania State University, University Park, PA (1997).

    Google Scholar 

  • Navarro, A., C. White, and L. Burman: Mastering XML. Sybex, San Francisco, CA, (2000).

    Google Scholar 

  • Mehra, A., and M. Nissen: Case Study: intelligent software supply chain agents Using ADE. AAAI Workshop on Software Tools for Developing Agents (1998).

    Google Scholar 

  • Satapathy, G., and S. R. T. Kumara: Object oriented design based agent modeling. In Fourth International Conference on Practical Applications of Agents and Multiagents (PAAM99), London, UK, April 1999.

    Google Scholar 

  • 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).

    Google Scholar 

  • Shen, W., and D. H. Norrie: Agent-Based Systems for Intelligent Manufacturing: A State of-the-Art Survey. Knowledge and Information Systems, an International Journal, 1(2), 129–156, (1999).

    Google Scholar 

  • Stader, J., and P. Jarvis: Intelligent support for enterprise modeling. Submitted to The 13th biennial European Conference on Artificial Intelligence (ECAI-98)), Brighton Centre, Brighton, UK, 23–28 (1998).

    Google Scholar 

  • Swaminathan, J. M., et al.: Modeling Supply Chain Dynamics: A Multiagent Approach, Decision Sciences, 29(3): 607–632 (1998).

    Article  Google Scholar 

  • Wooldridge, M. and N. R. Jennings: Intelligent Agents: Theory and Practice. Knowledge Engineering Review, January (1995).

    Google Scholar 

  • Yung, S. K., and C. C. Yang, A new approach to solve supply chain management problem by integrating multi-agent technology and constraint network. Proceedings of the 32nd Hawaii International Conference on System Sciences (ICSS) March, (1999).

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, 310 Leonhard Building, University Park, PA, 16802, USA

    Chad Dodd & Soundar R. T. Kumara

Authors
  1. Chad Dodd
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Soundar R. T. Kumara
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Hungarian Academy of Sciences, Intelligent Manufacturing and Business Processes Computer and Automation Research Institute, Kende utca 13-17, 1111, Budapest, Hungary

    László Monostori  & József Váncza  & 

  2. Department of Computer Science 601 University Drive, Southwest Texas State University, San Marcos, TX, 78666-4616, USA

    Moonis Ali

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Dodd, C., Kumara, S.R.T. (2001). A Distributed Multi-agent Model for Value Nets. In: Monostori, L., Váncza, J., Ali, M. (eds) Engineering of Intelligent Systems. IEA/AIE 2001. Lecture Notes in Computer Science(), vol 2070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45517-5_79

Download citation

  • DOI: https://doi.org/10.1007/3-540-45517-5_79

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42219-8

  • Online ISBN: 978-3-540-45517-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation