Abstract
Many industrial systems such as aircrafts, ships, manufacturing systems, etc. are required to perform several missions with finite breaks between missions. Maintenance is only available within the breaks. Due to the limitation of resources, all components in the system may not be maintained as desired. The selective maintenance problem helps the decision makers figure out what critical components to select and how to perform maintenance on these components. This paper studies the selective maintenance for multi-state series-parallel systems with the benefit of repairing multiple components simultaneously. Both time and cost savings can be acquired when several components are simultaneously repaired in a selective maintenance strategy. As the number of repaired components increases, the saved time and cost will also increase due to the share of setting up between components and another additional reduction amount from the repair of multiple identical components. A non-linear optimization model is developed to find the most reliable system subjected to time and cost constraints. Genetic algorithm is used to solve the optimization model. An illustrative example will be provided.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Rice WF, Cassady CR, Nachlas JA (1988) Optimal maintenance plans under limited maintenance time. In: Industrial engineering research conference
Cassady CR, Pohl EA, Murdock WP (2001) Selective maintenance modeling for industrial systems. J Qual Maint Eng 7(2):104–117
Schneider K, Cassady CR (2004) Fleet Performance under Selective Maintenance, RAMS
Maillart LM, Cassady CR, Rainwater C, Schneider K (2009) Selective maintenance decision-making over extended planning horizons. IEEE Trans Reliab 58(3):462–469
Pandey M, Zuo MJ, Moghaddass R (2012) Selective maintenance for binary systems using age-based imperfect repair model. In: International conference on quality, reliability, risk, maintenance, and safety (QR2MSE)
Chen C, Meng MQ-H, Zuo MJ (1999) Selective maintenance optimization for multi-state systems. In: Proceedings of the IEEE Canadian conference on electrical and computer engineering
Liu Y, Huang HZ (2010) Optimal Selective maintenance strategy for multi-state systems under imperfect maintenance. IEEE Trans Reliab 59(2):356–367
Pandey M, Zuo MJ, Moghaddass R (2013) Selective maintenance for multistate system with multistate components. IIE Trans 45(11):1221−1234
Maaroufi G, Chelbi A, Rezg N (2012) A selective maintenance policy for multi-component systems with stochastic and economic dependence. In: 9th international conference of modelling, optimization and simulation
Nourelfath M, Chatelet E (2012) Integrating production, inventory and maintenance planning for a parallel system with dependent components. Reliab Eng Syst Saf 101:59–66
Sivanandam SN, Deepa SN (2010) Introduction to genetic algorithms. Springer, Berlin
Acknowledgment
This research is supported by Natural Sciences and Engineering Research Council of Canada (NSERC) and Vietnam International Education Development (VIED).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Dao, C.D., Zuo, M.J. (2015). Selective Maintenance for Multi-state Systems Considering the Benefits of Repairing Multiple Components Simultaneously. In: Tse, P., Mathew, J., Wong, K., Lam, R., Ko, C. (eds) Engineering Asset Management - Systems, Professional Practices and Certification. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-09507-3_36
Download citation
DOI: https://doi.org/10.1007/978-3-319-09507-3_36
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09506-6
Online ISBN: 978-3-319-09507-3
eBook Packages: EngineeringEngineering (R0)