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

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.

[1]  B.K.N. Rao,et al.  Handbook of Condition Monitoring , 1996 .

[2]  François Monchy,et al.  Teoría y práctica del mantenimiento industrial , 1990 .

[3]  R. Schroeder,et al.  Total productive maintenance: a contextual view , 1999 .

[4]  Ian Hipkin,et al.  A study of maintenance technology implementation , 1995 .

[5]  Rommert Dekker,et al.  A Dynamic Policy for Grouping Maintenance Activities , 1997 .

[6]  C. Richard Cassady,et al.  Selective maintenance for support equipment involving multiple maintenance actions , 2001, Eur. J. Oper. Res..

[7]  Philip A. Scarf,et al.  On the application of mathematical models in maintenance , 1997 .

[8]  Ian Hipkin,et al.  TQM and BPR: lessons for maintenance management , 2000 .

[9]  Terry Anthony Byrd,et al.  A framework for measuring the efficiency of organizational investments in information technology using data envelopment analysis , 2000 .

[10]  Chwen Sheu,et al.  The impact of learning, forgetting and capacity profiles on the acquisition of advanced technology , 2000 .

[11]  Diederik J.D. Wijnmalen,et al.  Coordinated condition-based repair strategies for components of a multi-component maintenance system with discounts , 1997 .

[12]  Gerald M. Knapp,et al.  Determining the most important criteria in maintenance decision making , 1997 .

[13]  Shey-Huei Sheu,et al.  A generalized age and block replacement of a system subject to shocks , 1998, Eur. J. Oper. Res..

[14]  María del Carmen Carnero Moya.  Evaluación del ciclo de vida de un programa de mantenimiento predictivo mediante técnica multicriterio , 2001 .

[15]  G. V. Dijkhuizen,et al.  Optimal clustering of frequency-constrained maintenance jobs with shared set-ups , 1997 .

[16]  P. Jonsson.  Company-wide integration of strategic maintenance: An empirical analysis , 1999 .

[17]  Wenbin Wang.  A model of multiple nested inspections at different intervals , 2000, Comput. Oper. Res..

[18]  D. N. Prabhakar Murthy,et al.  Optimal decision making in a maintenance service operation , 1999, Eur. J. Oper. Res..

[19]  Safaai Deris,et al.  Ship maintenance scheduling by genetic algorithm and constraint-based reasoning , 1999, Eur. J. Oper. Res..

[20]  A. H. Christer,et al.  A state space condition monitoring model for furnace erosion prediction and replacement , 1997 .

[21]  Kenneth K. Boyer,et al.  Strategic consensus in operations strategy , 1999 .

[22]  Terry Wireman.  Total Productive Maintenance , 2004 .