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A Multi-Agent Framework for the Coordination and Integration of Information Systems


  • Riyaz Sikora

    (Department of Business Administration, University of Illinois at Urbana-Champaign, 108 Commerce West Building, 1206 S. Sixth Street, Champaign, Illinois 61820)

  • Michael J. Shaw

    (Beckman Institute for Advanced Science and Technology, 405 N. Mathews Avenue, Urbana, Illinois 61801)


This paper describes a framework for the coordination and integration of information systems. By modeling typical enterprise information systems as consisting of multiple agents with different functionalities, the methodology provides the representational formalism, coordination mechanisms, and control schemes necessary for integrating heterogeneous units of an information system while meeting such performance criteria as overall effectiveness, efficiency, responsiveness, and robustness. The framework is applied to the development of a manufacturing information system for managing the production processes for making printed circuit boards. Performance results confirm that the system integration framework is important to support complex business processes that involve multiple steps of activities processed by a group of agents across a variety of functionalities.

Suggested Citation

  • Riyaz Sikora & Michael J. Shaw, 1998. "A Multi-Agent Framework for the Coordination and Integration of Information Systems," Management Science, INFORMS, vol. 44(11-Part-2), pages 65-78, November.
  • Handle: RePEc:inm:ormnsc:v:44:y:1998:i:11-part-2:p:s65-s78

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    References listed on IDEAS

    1. Richard M. Burton & Börge Obel, 1980. "The Efficiency of the Price, Budget, and Mixed Approaches Under Varying a Priori Information Levels for Decentralized Planning," Management Science, INFORMS, vol. 26(4), pages 401-417, April.
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    Cited by:

    1. Christoph Schlueter-Langdon, 2000. "Information Technology And The Vertical Organization Of Industry," Computing in Economics and Finance 2000 174, Society for Computational Economics.
    2. Anussornnitisarn, Pornthep & Nof, Shimon Y. & Etzion, Opher, 2005. "Decentralized control of cooperative and autonomous agents for solving the distributed resource allocation problem," International Journal of Production Economics, Elsevier, vol. 98(2), pages 114-128, November.
    3. Rajiv D. Banker & Robert J. Kauffman, 2004. "50th Anniversary Article: The Evolution of Research on Information Systems: A Fiftieth-Year Survey of the Literature in Management Science," Management Science, INFORMS, vol. 50(3), pages 281-298, March.
    4. Benoit A. Aubert & Betty Vandenbosch & Muriel Mignerat, 2003. "Towards the Measurement of Process Integration," CIRANO Working Papers 2003s-04, CIRANO.
    5. Son, Joong Y. & Sheu, Chwen, 2008. "The impact of replenishment policy deviations in a decentralized supply chain," International Journal of Production Economics, Elsevier, vol. 113(2), pages 785-804, June.
    6. repec:eee:proeco:v:191:y:2017:i:c:p:221-232 is not listed on IDEAS
    7. Frayret, Jean-Marc & D&rsquo & Amours, Sophie & Montreuil, Benoit & Cloutier, Louis, 2001. "A network approach to operate agile manufacturing systems," International Journal of Production Economics, Elsevier, vol. 74(1-3), pages 239-259, December.


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