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    Agent-based approach for manufacturing integration: The ciimplex experience

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    612.pd.pdf (122.0Kb)
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    https://www.tandfonline.com/doi/abs/10.1080/088395199117487
    Permanent Link
    https://doi.org/10.1080/088395199117487
    http://hdl.handle.net/11603/12731
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    • UMBC Computer Science and Electrical Engineering Department
    • UMBC Faculty Collection
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    Author/Creator
    Peng, Y.
    Finin, T.
    Labrou, Y.
    Cost, R.S.
    Chu, B.
    Long, J.
    Tolone, W. J.
    Boughannam, A.
    Date
    2010-11-26
    Type of Work
    40 pages
    Text
    journal articles preprints
    Citation of Original Publication
    Y. Peng , T. Finin , Y. Labrou , R.S. Cost , B. Chu , J. Long , W. J. Tolone & A. Boughannam , Agent-based approach for manufacturing integration: The ciimplex experience, Applied Artificial Intelligence ,An International Journal Volume 13, 1999 - Issue 1-2 , DOI: https://doi.org/10.1080/088395199117487
    Rights
    This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
     This is the submitted manuscript of an article published by Taylor & Francis in Applied Artificial Intelligence , An International Journal on 26 Nov 2010, available online: https://doi.org/10.1080/088395199117487
    Subjects
    agent
    enterprise integration
    multiagent
    Abstract
    The production management system used by most manufacturers today is comprised of disconnected planning and execution processes, and lacks the support for interoperability and collaboration needed for enterprise-wide integration. This situation often prevents the manufacturer from fully exploring market opportunities in a timely fashion. To address this problem, we are exploring an agent-based approach to intelligent enterprise integration. In this approach, a set of agents with specialized expertise can be quickly assembled to help with the gathering of relevant information and knowledge, to cooperate with each other and with other parts of the production management system and humans to arrive at timely decisions in dealing with various enterprise scenarios. The proposed multi-agent system, including its architecture and implementation, are presented and demonstrated through an example integration scenario involving real planning and execution software systems.


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    Albin O. Kuhn Library & Gallery
    University of Maryland, Baltimore County
    1000 Hilltop Circle
    Baltimore, MD 21250
    www.umbc.edu/scholarworks

    Contact information:
    Email: scholarworks-group@umbc.edu
    Phone: 410-455-3021


    If you wish to submit a copyright complaint or withdrawal request, please email mdsoar-help@umd.edu.