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PRM-based patterns for knowledge formalisation of industrial systems to support maintenance strategies assessment

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  • Medina-Oliva, G.
  • Weber, P.
  • Iung, B.

Abstract

The production system and its maintenance system must be now developed on “system thinking†paradigm in order to guarantee that Key Performance Indicators (KPI) will be optimized all along the production system (operation) life. In a recursive way, maintenance system engineering has to integrate also KPI considerations with regards to its own enabling systems. Thus this paper develops a system-based methodology wherein a set of KPIs is computed in order to verify if the objectives of the production and maintenance systems are satisfied. In order to help the decision-making process for maintenance managers, a “unified†generic model have been developed. This model integrates (a) the interactions of the maintenance system with its enabling systems, (b) the impact of the maintenance strategies through the computation of some key performance indicators, and (c) different kinds of knowledge regarding the maintenance system and the system of interest, including quantitative and qualitative knowledge. This methodology is based on an executable unified model built with Probabilistic Relational Model (PRM). PRM allows a modular representation and inferences computation of large size models. The methodology added-value is shown on a test-bench.

Suggested Citation

  • Medina-Oliva, G. & Weber, P. & Iung, B., 2013. "PRM-based patterns for knowledge formalisation of industrial systems to support maintenance strategies assessment," Reliability Engineering and System Safety, Elsevier, vol. 116(C), pages 38-56.
    • Handle: RePEc:eee:reensy:v:116:y:2013:i:c:p:38-56
    DOI: 10.1016/j.ress.2013.02.026
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    References listed on IDEAS

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    1. A Léger & P Weber & E Levrat & C Duval & R Farret & B Iung, 2009. "Methodological developments for probabilistic risk analyses of socio-technical systems," Journal of Risk and Reliability, , vol. 223(4), pages 313-332, December.
    2. Alsyouf, Imad, 2007. "The role of maintenance in improving companies' productivity and profitability," International Journal of Production Economics, Elsevier, vol. 105(1), pages 70-78, January.
    3. Muller, Alexandre & Suhner, Marie-Christine & Iung, Benoît, 2008. "Formalisation of a new prognosis model for supporting proactive maintenance implementation on industrial system," Reliability Engineering and System Safety, Elsevier, vol. 93(2), pages 234-253.
    4. Trucco, P. & Cagno, E. & Ruggeri, F. & Grande, O., 2008. "A Bayesian Belief Network modelling of organisational factors in risk analysis: A case study in maritime transportation," Reliability Engineering and System Safety, Elsevier, vol. 93(6), pages 845-856.
    5. Bartholomew-Biggs, Michael & Zuo, Ming J. & Li, Xiaohu, 2009. "Modelling and optimizing sequential imperfect preventive maintenance," Reliability Engineering and System Safety, Elsevier, vol. 94(1), pages 53-62.
    6. Pham, Hoang & Wang, Hongzhou, 1996. "Imperfect maintenance," European Journal of Operational Research, Elsevier, vol. 94(3), pages 425-438, November.
    7. Wang, Hongzhou, 2002. "A survey of maintenance policies of deteriorating systems," European Journal of Operational Research, Elsevier, vol. 139(3), pages 469-489, June.
    8. P Weber & D Theilliol & C Aubrun, 2008. "Component reliability in fault-diagnosis decision making based on dynamic Bayesian networks," Journal of Risk and Reliability, , vol. 222(2), pages 161-172, June.
    9. Cho, Danny I. & Parlar, Mahmut, 1991. "A survey of maintenance models for multi-unit systems," European Journal of Operational Research, Elsevier, vol. 51(1), pages 1-23, March.
    10. Kim, Man Cheol & Seong, Poong Hyun & Hollnagel, Erik, 2006. "A probabilistic approach for determining the control mode in CREAM," Reliability Engineering and System Safety, Elsevier, vol. 91(2), pages 191-199.
    11. Fouladirad, Mitra & Grall, Antoine & Dieulle, Laurence, 2008. "On the use of on-line detection for maintenance of gradually deteriorating systems," Reliability Engineering and System Safety, Elsevier, vol. 93(12), pages 1814-1820.
    12. Christophe Gonzales & Pierre-Henri Wuillemin, 2011. "PRM inference using Jaffray & Faÿ’s Local Conditioning," Theory and Decision, Springer, vol. 71(1), pages 33-62, July.
    13. Langseth, Helge & Portinale, Luigi, 2007. "Bayesian networks in reliability," Reliability Engineering and System Safety, Elsevier, vol. 92(1), pages 92-108.
    14. van Noortwijk, J.M., 2009. "A survey of the application of gamma processes in maintenance," Reliability Engineering and System Safety, Elsevier, vol. 94(1), pages 2-21.
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    Cited by:

    1. González, Esteban Le Maitre & Desforges, Xavier & Archimède, Bernard, 2018. "Assessment method of the multicomponent systems future ability to achieve productive tasks from local prognoses," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 403-415.
    2. Huang, Yeu-Shiang & Gau, Wei-Yo & Ho, Jyh-Wen, 2015. "Cost analysis of two-dimensional warranty for products with periodic preventive maintenance," Reliability Engineering and System Safety, Elsevier, vol. 134(C), pages 51-58.
    3. Edson Ruschel & Eduardo Alves Portela Santos & Eduardo de Freitas Rocha Loures, 2020. "Establishment of maintenance inspection intervals: an application of process mining techniques in manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 31(1), pages 53-72, January.

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