Abstract
Reliability significantly influences system’s performance and its life cycle costs. Poor reliability would greatly increase life cycle costs of the systems, and reliability based design must be carried out if the system is to achieve its desired performance. Additionally, optimal level of repair is determined to reduce life cycle costs of the fleet systems. Traditionally for such systems, reliability design and level of repair analysis is done sequentially. It is hypothesized in this research that such decisions have interaction effects and hence simultaneous optimization of reliability design and level of repair would improve the life cycle performance of the system. Present paper aims to develop a decision framework for simultaneous selection of reliability design and level of repairs for fleet systems.
Similar content being viewed by others
References
Barros LL (1998) The optimization of repair decision using life-cycle cost parameters. IMA J Manag Math 9(4):403–413
Barros LL, Riley M (2001) A combinatorial approach to level of repair analysis. Eur J Oper Res 129(2):242–251
Basten RJI (2010) Designing logistics support systems: level of repair analysis and spare parts inventories. University of Twente
Basten RJ, Schutten JMJ, van der Heijden MC (2009) An efficient model formulation for level of repair analysis. Ann Oper Res 172(1):119–142
Basten RJI, Van der Heijden MC, Schutten JMJ (2011a) Practical extensions to a minimum cost flow model for level of repair analysis. Eur J Oper Res 211(2):333–342
Basten RJ, Van der Heijden MC, Schutten JMJ (2011b) A minimum cost flow model for level of repair analysis. Int J Prod Econ 133(1):233–242
Basten RJI, Van der Heijden MC, Schutten JMJ (2012) Joint optimization of level of repair analysis and spare parts stocks. Eur J Oper Res 222(3):474–483
Basten RJI, Van der Heijden MC, Schutten JMJ, Kutanoglu E (2015) An approximate approach for the joint problem of level of repair analysis and spare parts stocking. Ann Oper Res 224(1):121–145
Blanchard BS (2004) Logistics engineering and management. Prentice Hall, Upper Saddle River
Brick ES, Uchoa E (2009) A facility location and installation of resources model for level of repair analysis. Eur J Oper Res 192(2):479–486
Chatwattanasiri N, Coit D, Feng Q (2014) Two-stage stochastic algorithm for system cost-reliability and maintenance optimization considering uncertain future usage scenarios. In: Proceedings of IIE annual conference. Institute of Industrial Engineers, p 1098
Cranshaw D, Pall R, Wesolkowski S (2014) On the application of a multi-objective genetic algorithm to the LORA-spares problem. In: Operations research proceedings 2012. Springer, pp 509–514
Faraci V Jr (2008) Reliability analysis center. http://www.theriac.org/. Assessed on 11 Sept 2014
Huang L, Yue W (2009) Reliability modeling and design optimization for mechanical equipment undergoing maintenance. In: Reliability, maintainability and safety, 2009. ICRMS 2009. 8th International conference on 1029-1034. IEEE
Kumar R, Izui K, Yoshimura M, Nishiwaki S (2007) Optimal modular redundancy using hierarchical genetic algorithms. In: Reliability and maintainability symposium, 2007. RAMS’07. Annual, pp 398–404. IEEE
Kusiak A, Li W (2011) The prediction and diagnosis of wind turbine faults. Renew Energy 36(1):16–23
Lad BK, Kulkarni MS (2013) Reliability and maintenance based design of machine tools. Int J Perform Eng 9(3):321–332
Lad BK, Kulkarni MS, Misra KB (2008) Optimal reliability design of a system. Handbook of performability engineering. Springer, London, pp 499–519
Markeset T, Kumar U (2003) Design and development of product support and maintenance concepts for industrial systems. J Qual Maint Eng 9(4):376–392
Moghaddass R, Zuo MJ (2011) Optimal design of a repairable k-out-of-n system considering maintenance. In: Reliability and maintainability symposium (RAMS), 2011 proceedings-annual, pp. 1–6. IEEE
Nepal B, Monplaisir L, Singh N (2007) A framework to integrate design for reliability and maintainability in modular product design. Int J Prod Dev 4(5):459–484
Nourelfath M, Ait-Kadi D (2007) Optimization of series–parallel multi-state systems under maintenance policies. Reliab Eng Syst Saf 92(12):1620–1626
Pan JN, Chen SC (2013) A loss-function based approach for evaluating reliability improvement of an engineering design. Expert Syst Appl 40(14):5703–5708
Rasmussen N, Niles S (2005) Modular systems: the evolution of reliability, White paper, 76. http://www.apcmedia.com/salestools/SNIS-66ZTJB/SNIS-66ZTJB_R1_EN.pdf. Assessed on 01 March 2015
Rawat M, Lad BK (2015) An integrated approach for fleet level maintenance planning. Int J Perform Eng 11(3):229–242
Roy P, Mahapatra BS, Mahapatra GS, Roy PK (2014) Entropy based region reducing genetic algorithm for reliability redundancy allocation in interval environment. Expert Syst Appl 41(14):6147–6160
Russell RS, Taylor-Iii BW (2008) Operations management along the supply chain. Wiley, Hoboken
Saranga H, Kumar UD (2006) Optimization of aircraft maintenance/support infrastructure using genetic algorithms—level of repair analysis. Ann Oper Res 143(1):91–106
Sriramdas V, Chaturvedi SK, Gargama H (2014) Fuzzy arithmetic based reliability allocation approach during early design and development. Expert Syst Appl 41(7):3444–3449
Wang Z, Huang HZ, Du X (2010) Optimal design accounting for reliability, maintenance, and warranty. J Mech Des 132(1):011007
RISK Optimizer. http://www.palisade.com/risk/
Yu H, Yalaoui F, Châtelet Ė, Chu C (2007) Optimal design of a maintainable cold-standby system. Relia Eng Syst Saf 92(1):85–91
Zheng H, Feng Y, Tan J, Zhang Z (2015) An integrated modular design methodology based on maintenance performance consideration. Proc Inst Mech Eng Part B J Eng Manuf. doi:10.1177/0954405415573060
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Rawat, M., Lad, B.K. Simultaneous selection of reliability design and level of repair for fleet systems. Int J Syst Assur Eng Manag 7, 138–155 (2016). https://doi.org/10.1007/s13198-016-0429-z
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13198-016-0429-z