Joint redundancy and imperfect preventive maintenance optimization for series–parallel multi-state degraded systems

Mustapha Nourelfath, Châtelet, Eric and Nabil Nahas

Reliability Engineering and System Safety, 2012, vol. 103, issue C, 51-60

Abstract: This paper formulates a joint redundancy and imperfect preventive maintenance planning optimization model for series–parallel multi-state degraded systems. Non identical multi-state components can be used in parallel to improve the system availability by providing redundancy in subsystems. Multiple component choices are available in the market for each subsystem. The status of each component is considered to degrade with use. The objective is to determine jointly the maximal-availability series–parallel system structure and the appropriate preventive maintenance actions, subject to a budget constraint. System availability is defined as the ability to satisfy consumer demand that is represented as a piecewise cumulative load curve. A procedure is used, based on Markov processes and universal moment generating function, to evaluate the multi-state system availability and the cost function. A heuristic approach is also proposed to solve the formulated problem. This heuristic is based on a combination of space partitioning, genetic algorithms (GA) and tabu search (TS). After dividing the search space into a set of disjoint subsets, this approach uses GA to select the subspaces, and applies TS to each selected sub-space.

Keywords: Multi-state systems; Degradation; Maintenance optimization; Redundancy optimization; Series–parallel systems; Meta-heuristics (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (11)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:103:y:2012:i:c:p:51-60

DOI: 10.1016/j.ress.2012.03.004

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