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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
A Simulation Study Of Military Land Equipment Availability Under
Corrective And Preventive Maintenance Regimes |
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Authors: |
Peter C. Jentsch, Abdeslem Boukhtouta |
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Published in:
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(2015).ECMS 2015 Proceedings edited
by: Valeri M. Mladenov, Grisha Spasov, Petia Georgieva, Galidiya Petrova, European
Council for Modeling and Simulation. doi:10.7148/2015 ISBN:
978-0-9932440-0-1 29th
European Conference on Modelling and Simulation, Albena (Varna), Bulgaria,
May 26th – 29th,
2015 |
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Citation
format: |
Peter
C. Jentsch, Abdeslem Boukhtouta (2015). A
Simulation Study Of Military Land Equipment Availability Under Corrective And
Preventive Maintenance Regimes, ECMS 2015 Proceedings edited by: Valeri M. Mladenov, Petia Georgieva, Grisha Spasov, Galidiya Petrova European Council for Modeling and Simulation. doi:10.7148/2015-0373 |
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DOI: |
http://dx.doi.org/10.7148/2015-0373 |
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Abstract: |
This paper presents a simulation study
for military land equipment operational availability (OA). A discrete event
simulation model was developed within this study to support the analysis of
the effect of several maintenance regimes on OA namely Corrective Maintenance
(CM), Scheduled Preventive Maintenance (SPM), and Condition-Based Maintenance
(CBM). The model was implemented using the ARENA environment and simulations
were run with various probability distributions for the various process durations
such as task duration, time between failure, repair time, supply delay and
non-operating time. The maintenance “cost” metric has been considered in this
model. The results indicate that the simulation model capture the important
trends of an OA such as military land systems for the CM, SPM and CBM
regimes. The simulations results showed that as time between repairs becomes
larger, the SPM triggers less often, so CBM catches more failures. The
results showed also that the way the three maintenance regimes (CM, CBM, and SPM)
interact can be complex, particularly because parts can fail during a task.
Many possible improvements were identified, at the design, implementation,
and results levels. |
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