Skip to Main content Skip to Navigation
Journal articles

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

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.
Complete list of metadatas

https://hal-utt.archives-ouvertes.fr/hal-02330125
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Wednesday, October 23, 2019 - 6:31:45 PM
Last modification on : Tuesday, September 15, 2020 - 10:28:07 AM

Identifiers

Collections

CNRS | ROSAS | UTT

Citation

Mustapha Nourelfath, Eric Chatelet, Nabil Nahas. Joint redundancy and imperfect preventive maintenance optimization for series–parallel multi-state degraded systems. Reliability Engineering and System Safety, Elsevier, 2012, 103, pp.51-60. ⟨10.1016/j.ress.2012.03.004⟩. ⟨hal-02330125⟩

Share

Metrics

Record views

38