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

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Author Info

  • 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)

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    Abstract

    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.

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    File URL: http://dx.doi.org/10.1287/mnsc.44.11.S65
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    Bibliographic Info

    Article provided by INFORMS in its journal Management Science.

    Volume (Year): 44 (1998)
    Issue (Month): 11-Part-2 (November)
    Pages: S65-S78

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    Handle: RePEc:inm:ormnsc:v:44:y:1998:i:11-part-2:p:s65-s78

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    Web page: http://www.informs.org/
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    Related research

    Keywords: System Integration; Coordination Theory; Intelligent Manufacturing; Intelligent Agents; Distributed Information Systems; Enterprise Integration;

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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. 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.
    3. Benoit A. Aubert & Betty Vandenbosch & Muriel Mignerat, 2003. "Towards the Measurement of Process Integration," CIRANO Working Papers 2003s-04, CIRANO.
    4. 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.

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