Optimal Opportunistic Maintenance Policy for a Two-Unit System

This paper presents a maintenance policy for a system
consisting of two units. Unit 1 is gradually deteriorating and is
subject to soft failure. Unit 2 has a general lifetime distribution
and is subject to hard failure. Condition of unit 1 of the system
is monitored periodically and it is considered as failed when its
deterioration level reaches or exceeds a critical level N. At the
failure time of unit 2 system is considered as failed, and unit 2
will be correctively replaced by the next inspection epoch. Unit 1
or 2 are preventively replaced when deterioration level of unit 1
or age of unit 2 exceeds the related preventive maintenance (PM)
levels. At the time of corrective or preventive replacement of unit
2, there is an opportunity to replace unit 1 if its deterioration
level reaches the opportunistic maintenance (OM) level. If unit
2 fails in an inspection interval, system stops operating although
unit 1 has not failed. A mathematical model is derived to find
the preventive and opportunistic replacement levels for unit 1 and
preventive replacement age for unit 2, that minimize the long run
expected average cost per unit time. The problem is formulated and
solved in the semi-Markov decision process (SMDP) framework.
Numerical example is provided to illustrate the performance of the
proposed model and the comparison of the proposed model with an
optimal policy without opportunistic maintenance level for unit 1 is
carried out.




References:
[1] HZ. Wang and H. Pham, Reliability and Optimal Maintenance,.
Springer, 2006.
[2] V. Legat, AH. Zaludova, V. Cervenka, and V. Jurca, Contribution to
optimization of preventive maintenance. Reliability Engineering System,
51:25966, 1996.
[3] C.T. Lam, and R.H. Yeh, Comparison of sequential and continuous
inspection strategies for deterioration systems. Advances in Applied
Probability, 26, 423-435, 1994.
[4] A. Lehmann, Joint modeling of degradation and failure time data.
Journal of Statistical Planning and Inference, 139(5), 1693-1706, 2009.
[5] W. Li and H. Pham, An inspection maintenance model for systems with
multiple competing processes. IEEE Transactions on Reliability, 54(2),
318-327, 2005.
[6] K.T. Huynh, A. Barros, C. Brenguer, and I.T. Castro, A periodic
inspection and replacement policy for systems subject to competing failure
modes due to degradation and traumatic events Reliability and System
Safety, 96(4), 497-508, 2011.
[7] D. Cho and M. Parlar, A survey of maintenance models for multi-unit
systems. European Journal of Operational Research, 51 (1), 123, 1991.
[8] H. Shi and J. Zeng, Real-time prediction of remaining useful life
and preventive opportunistic maintenance strategy for multi-component
systems considering stochastic dependence. Computers & Industrial
Engineering 93, 192204, 2016.
[9] B. Castanier, A. Grall and C. Brenguer A condition-based maintenance
policy with non-periodic inspections for a two-unit series system.
Reliability Engineering & System Safety 87(1): 109 - 120, 2005.
[10] Q. Zhu, H. Peng and GJ. Houtum,A condition-based maintenance policy
for multi-component systems with a high maintenance setup cost. OR
Spectrum, 37, 1007-1035, 2015.
[11] M. Lai and Y. Chen Optimal periodic replacement policy for a
two-unit system with failure rate interaction. The International Journal
of Advanced Manufacturing and Technology, 29, 367-371, 2006.
[12] R. Laggoune, A. Chateauneu and A. Djamil Opportunistic policy
for optimal preventive maintenance of a multi-component system in
continuous operating units, Computers & Chemical Engineering, Volume
33, Issue 9, Pages 14991510, 2009.
[13] G.J. Wang and Y.L. Zhang An optimal replacement policy for a two -
component series system assuming geometric process repair. Computers
& Mathematics with Applications 54(2): 192 - 202, 2007.
[14] N. Salari and V. Makis, Optimal preventive and opportunistic
maintenance policy for a two-unit system, International Journal of
Advanced Manufacturing Technology, DOI 10.1007/s00170-016-9127-x,
2016.
[15] H.C Tijms, Stochastic Modeling and Analysis: A computational
Approach. John Wiley & Sons, New York, 1994.