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A method to select a successful interoperability solution through a simulation approach

Author

Listed:
  • François Galasso

    (University of Toulouse)

  • Yves Ducq

    (Univ. Bordeaux)

  • Matthieu Lauras

    (University of Toulouse
    University of Toulouse)

  • Didier Gourc

    (University of Toulouse)

  • Mamadou Camara

    (Univ. Bordeaux)

Abstract

Enterprise applications and software systems need to be interoperable in order to achieve seamless business across organizational boundaries and thus realize virtual networked organizations. Our proposition can be considered as an interoperability project selection approach and is based on three steps: (1) Modelling both collaborative business processes and potential related interoperability projects; (2) Evaluating the accessibility of each project regarding the current state of the organization; (3) Simulating each project and assessing the associated performance. These results are finally projected on a comparison matrix used as a decision support to select the most appropriate interoperability solution. An application case extracted from the French aerospace sector demonstrates the applicability and the benefits of the proposition.

Suggested Citation

  • François Galasso & Yves Ducq & Matthieu Lauras & Didier Gourc & Mamadou Camara, 2016. "A method to select a successful interoperability solution through a simulation approach," Journal of Intelligent Manufacturing, Springer, vol. 27(1), pages 217-229, February.
    • Handle: RePEc:spr:joinma:v:27:y:2016:i:1:d:10.1007_s10845-014-0889-4
    DOI: 10.1007/s10845-014-0889-4
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    References listed on IDEAS

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    1. Aimo Hinkkanen & Karl R. Lang & Andrew B. Whinston, 2003. "A Set-Theoretical Foundation of Qualitative Reasoning and its Application to the Modeling of Economics and Business Management Problems," Information Systems Frontiers, Springer, vol. 5(4), pages 379-399, December.
    2. Thomas A. Hansen & Jens O. Riis, 1999. "Exploratory performance assessment," International Journal of Business Performance Management, Inderscience Enterprises Ltd, vol. 1(2), pages 113-133.
    3. Ghalayini, Alaa M. & Noble, James S. & Crowe, Thomas J., 1997. "An integrated dynamic performance measurement system for improving manufacturing competitiveness," International Journal of Production Economics, Elsevier, vol. 48(3), pages 207-225, February.
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    Cited by:

    1. Izunildo Cabral & Antonio Grilo, 2018. "Impact of Business Interoperability on the Performance of Complex Cooperative Supply Chain Networks: A Case Study," Complexity, Hindawi, vol. 2018, pages 1-30, February.
    2. L. Berrah & V. Clivillé & J. Montmain & G. Mauris, 2019. "The Contribution concept for the control of a manufacturing multi-criteria performance improvement," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 47-58, January.

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