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Knowledge reuse integrating the collaboration from experts in industrial maintenance management

Author

Listed:
  • Paula Andrea Potes Ruiz

    (LGP - Laboratoire Génie de Production - Ecole Nationale d'Ingénieurs de Tarbes)

  • Bernard Kamsu Foguem

    (LGP - Laboratoire Génie de Production - Ecole Nationale d'Ingénieurs de Tarbes)

  • Daniel Noyes

    (LGP - Laboratoire Génie de Production - Ecole Nationale d'Ingénieurs de Tarbes)

Abstract

Distributed environments, technological evolution, outsourcing market and information technology (IT) are factors that considerably influence current and future industrial maintenance management. Repairing and maintaining the plants and installations requires a better and more sophisticated skill set and continuously updated knowledge. Today, maintenance solutions involve increasing the collaboration of several experts to solve complex problems. These solutions imply changing the requirements and practices for maintenance; thus, conceptual models to support multidisciplinary expert collaboration in decision making are indispensable. The objectives of this work are as follows: (i) knowledge formalization of domain vocabulary to improve the communication and knowledge sharing among a number of experts and technical actors with Conceptual Graphs (CGs) formalism, (ii) multi-expert knowledge management with the Transferable Belief Model (TBM) to support collaborative decision making, and (iii) maintenance problem solving with a variant of the Case-Based Reasoning (CBR) mechanism with a process of solving new problems based on the solutions of similar past problems and integrating the experts' beliefs. The proposed approach is applied for the maintenance management of the illustrative case study.

Suggested Citation

  • Paula Andrea Potes Ruiz & Bernard Kamsu Foguem & Daniel Noyes, 2013. "Knowledge reuse integrating the collaboration from experts in industrial maintenance management," Post-Print hal-00861829, HAL.
  • Handle: RePEc:hal:journl:hal-00861829
    DOI: 10.1016/j.knosys.2013.06.005
    Note: View the original document on HAL open archive server: https://hal.archives-ouvertes.fr/hal-00861829
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    File URL: https://hal.archives-ouvertes.fr/hal-00861829/document
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    Cited by:

    1. Chien-Chang Hsu & Min-Sheng Chen, 2016. "Intelligent maintenance prediction system for LED wafer testing machine," Journal of Intelligent Manufacturing, Springer, vol. 27(2), pages 335-342, April.
    2. Giulia Bruno & Teresa Taurino & Agostino Villa, 0. "An approach to support SMEs in manufacturing knowledge organization," Journal of Intelligent Manufacturing, Springer, vol. 0, pages 1-14.

    More about this item

    Keywords

    Collaborative decision making; Experienced knowledge; Transferable belief model; Case-based reasoning; Maintenance management;

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