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The control of the setting up of a predictive maintenance programme using a system of indicators

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  • Carnero Moya, M. Carmen

Abstract

Predictive maintenance is one of the maintenance policies which is revolutionising the industry, due to the increase in security, quality and availability which is on offer to an industrial plant. However, the implantation of a predictive maintenance programme (PMP) is a strategic decision, and to date the analysis and study of questions relative to its setting up, management and supervision have not been carried out sufficiently. This paper proposes a system composed of indicators to control the setting up of PMPs which should facilitate the early detection of anomalies which can appear during setting up, thus avoiding the failure of these programmes. The system developed can be considered a predictive control of the PMP.

Suggested Citation

  • Carnero Moya, M. Carmen, 2004. "The control of the setting up of a predictive maintenance programme using a system of indicators," Omega, Elsevier, vol. 32(1), pages 57-75, February.
  • Handle: RePEc:eee:jomega:v:32:y:2004:i:1:p:57-75
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    1. van Dijkhuizen, Gerhard & van Harten, Aart, 1997. "Optimal clustering of frequency-constrained maintenance jobs with shared set-ups," European Journal of Operational Research, Elsevier, vol. 99(3), pages 552-564, June.
    2. Richard Cassady, C. & Paul Murdock, W. & Pohl, Edward A., 2001. "Selective maintenance for support equipment involving multiple maintenance actions," European Journal of Operational Research, Elsevier, vol. 129(2), pages 252-258, March.
    3. Deris, Safaai & Omatu, Sigeru & Ohta, Hiroshi & Shaharudin Kutar, Lt. Cdr & Abd Samat, Pathiah, 1999. "Ship maintenance scheduling by genetic algorithm and constraint-based reasoning," European Journal of Operational Research, Elsevier, vol. 112(3), pages 489-502, February.
    4. Jonsson, Patrik, 1999. "Company-wide integration of strategic maintenance: An empirical analysis," International Journal of Production Economics, Elsevier, vol. 60(1), pages 155-164, April.
    5. Murthy, D. N. P. & Asgharizadeh, E., 1999. "Optimal decision making in a maintenance service operation," European Journal of Operational Research, Elsevier, vol. 116(2), pages 259-273, July.
    6. Christer, A. H. & Wang, W. & Sharp, J. M., 1997. "A state space condition monitoring model for furnace erosion prediction and replacement," European Journal of Operational Research, Elsevier, vol. 101(1), pages 1-14, August.
    7. Wildeman, R. E. & Dekker, R. & Smit, A. C. J. M., 1997. "A dynamic policy for grouping maintenance activities," European Journal of Operational Research, Elsevier, vol. 99(3), pages 530-551, June.
    8. Wijnmalen, Diederik J. D. & Hontelez, Jan A. M., 1997. "Coordinated condition-based repair strategies for components of a multi-component maintenance system with discounts," European Journal of Operational Research, Elsevier, vol. 98(1), pages 52-63, April.
    9. Gagnon, Roger J. & Sheu, Chwen, 2000. "The impact of learning, forgetting and capacity profiles on the acquisition of advanced technology," Omega, Elsevier, vol. 28(1), pages 51-76, February.
    10. Shafer, Scott M. & Byrd, Terry A., 2000. "A framework for measuring the efficiency of organizational investments in information technology using data envelopment analysis," Omega, Elsevier, vol. 28(2), pages 125-141, April.
    11. Scarf, Philip A., 1997. "On the application of mathematical models in maintenance," European Journal of Operational Research, Elsevier, vol. 99(3), pages 493-506, June.
    12. Sheu, Shey-Huei, 1998. "A generalized age and block replacement of a system subject to shocks," European Journal of Operational Research, Elsevier, vol. 108(2), pages 345-362, July.
    13. Hipkin, I. B. & Lockett, A. G., 1995. "A study of maintenance technology implementation," Omega, Elsevier, vol. 23(1), pages 79-88, February.
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    Cited by:

    1. Ribeiro, M.A. & Silveira, J.L. & Qassim, R.Y., 2007. "Joint optimisation of maintenance and buffer size in a manufacturing system," European Journal of Operational Research, Elsevier, vol. 176(1), pages 405-413, January.
    2. Chen, Yujie & Cowling, Peter & Polack, Fiona & Remde, Stephen & Mourdjis, Philip, 2017. "Dynamic optimisation of preventative and corrective maintenance schedules for a large scale urban drainage system," European Journal of Operational Research, Elsevier, vol. 257(2), pages 494-510.
    3. Ishizaka, Alessio & Nemery, Philippe, 2014. "Assigning machines to incomparable maintenance strategies with ELECTRE-SORT," Omega, Elsevier, vol. 47(C), pages 45-59.
    4. Ming Tan, Cher & Raghavan, Nagarajan, 2008. "A framework to practical predictive maintenance modeling for multi-state systems," Reliability Engineering and System Safety, Elsevier, vol. 93(8), pages 1138-1150.
    5. Berrade, M.D. & Cavalcante, C.A.V. & Scarf, P.A., 2013. "Modelling imperfect inspection over a finite horizon," Reliability Engineering and System Safety, Elsevier, vol. 111(C), pages 18-29.
    6. Nishit Kumar Srivastava & Sandeep Mondal, 2016. "Development of Predictive Maintenance Model for N-Component Repairable System Using NHPP Models and System Availability Concept," Global Business Review, International Management Institute, vol. 17(1), pages 105-115, February.
    7. Berthaut, F. & Gharbi, A. & Dhouib, K., 2011. "Joint modified block replacement and production/inventory control policy for a failure-prone manufacturing cell," Omega, Elsevier, vol. 39(6), pages 642-654, December.

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