Condition based maintenance in the context of opportunistic maintenance

Condition based maintenance (CBM) uses the operating condition of a component to predict a failure event. Compared to age based replacement (ABR), CBM usually results in higher availability and lower maintenance costs, since it tries to prevent unplanned downtime and avoid unnecessary preventive maintenance activities for a component. However, the superiority of CBM remains unclear in multi‐component systems, in which opportunistic maintenance strategies can be applied. Opportunistic maintenance aims to group maintenance activities of two or more components in order to reduce maintenance costs. In a serial system, this may also result in less downtime of the production line. The aim of this paper is to examine the impact of opportunistic maintenance on the effectiveness of CBM. We simulate a small system consisting of three components in series and vary the number of components under a CBM policy, the length of the opportunistic maintenance zone, the cost benefits of grouping maintenance activities, and the chance of a failure occurrence within a preventive maintenance (PM) interval. The results show that within the current experimental settings, CBM remains cost effective in the multi‐component serial system, but is less effective than ABR in grouping maintenance activities. When the chance of failure is small and the length of the opportunistic maintenance zone is large, ABR may even be a better option if line productivity is important.

[1]  Hoang Pham,et al.  Optimal (τ, T) opportunistic maintenance of a k‐out‐of‐n:G system with imperfect PM and partial failure , 2000 .

[2]  Eric Levrat,et al.  Odds-based decision-making tool for opportunistic production-maintenance synchronization , 2008 .

[3]  K. E. Thurley,et al.  THE SUPERVISOR'S ROLE IN PRODUCTION CONTROL , 1961 .

[4]  Dvir Shabtay,et al.  Optimization of the machining economics problem for a multistage transfer machine under failure, opportunistic and integrated replacement strategies , 2003 .

[5]  R. Radner,et al.  Opportunistic Replacement of a Single Part in the Presence of Several Monitored Parts , 1963 .

[6]  Tomasz Nowakowski,et al.  On problems of multicomponent system maintenance modelling , 2009, Int. J. Autom. Comput..

[7]  Basim Al-Najjar,et al.  Selecting the most efficient maintenance approach using fuzzy multiple criteria decision making , 2003 .

[8]  Jan M. van Noortwijk,et al.  A survey of the application of gamma processes in maintenance , 2009, Reliab. Eng. Syst. Saf..

[9]  J. Banks,et al.  Discrete-Event System Simulation , 1995 .

[10]  R. Keith Mobley,et al.  An introduction to predictive maintenance , 1989 .

[11]  Jun Ni,et al.  Plant-level maintenance decision support system for throughput improvement , 2009 .

[12]  W. Klingenberg,et al.  Managing condition-based maintenance technology: A multiple case study in the process industry , 2011 .

[13]  Shey-Huei Sheu,et al.  Opportunity-based age replacement policy with minimal repair , 1999 .

[14]  William J. Kolarik,et al.  Creating quality : concepts, systems, strategies, and tools , 1995 .

[15]  Anthony M. Smith,et al.  Reliability-Centered Maintenance , 1992 .

[16]  Jc Johan Wortmann,et al.  Literature survey on condition based maintenance within the process industry , 2008 .

[17]  Peter H. Ritchken,et al.  m,T Group Maintenance Policies , 1990 .

[18]  Rommert Dekker,et al.  Optimal maintenance of multi-component systems: a review , 2008 .

[19]  Sinan Gürel,et al.  Machining conditions-based preventive maintenance , 2007 .

[20]  Hans Wortmann,et al.  Evaluating condition based maintenance effectiveness for two processes in series , 2011 .

[21]  Hamid Reza Golmakani,et al.  Optimal replacement policy and inspection interval for condition-based maintenance , 2011 .

[22]  Daming Lin,et al.  A review on machinery diagnostics and prognostics implementing condition-based maintenance , 2006 .

[23]  L. Pintelon,et al.  A framework for maintenance concept development , 2002 .

[24]  Hans LoK,et al.  Measuring maintenance performance } in search for a maintenance productivity index , 2000 .

[25]  Hongzhou Wang,et al.  OPTIMAL PREPAREDNESS MAINTENANCE OF MULTI-UNIT SYSTEMS WITH IMPERFECT MAINTENANCE AND ECONOMIC DEPENDENCE , 2001 .

[26]  F. A. van der Duyn Schouten,et al.  Analysis and computation of (n,N) : Strategies for maintenance of a two-component system , 1989 .

[27]  Xitong Zheng,et al.  Hazard-rate tolerance method for an opportunistic-replacement policy , 1992 .

[28]  Bikash Bhadury,et al.  Opportunistic maintenance of multi‐equipment system: a case study , 2000 .

[29]  James Llinas,et al.  Data fusion/data mining-based architecture for condition-based maintenance , 2006 .

[30]  Maurizio Bevilacqua,et al.  A combined goal programming - AHP approach to maintenance selection problem , 2006, Reliab. Eng. Syst. Saf..

[31]  D. N. P. Murthy,et al.  Complex System Maintenance Handbook , 2008 .

[32]  I. Gertsbakh Optimal group preventive maintenance of a system with observable state parameter , 1984 .