A1 Journal article (refereed), original research

A comparison of maintenance policies for multi-component systems through discrete event simulation of faults

Open Access publication

Publication Details
Authors: Urbani Michele, Brunelli Matteo, Collan Mikael
Publisher: Institute of Electrical and Electronics Engineers (IEEE): OAJ / IEEE
Publication year: 2020
Language: English
Related Journal or Series Information: IEEE Access
Volume number: 8
Start page: 143654
End page: 143664
Number of pages: 11
eISSN: 2169-3536
JUFO-Level of this publication: 2
Open Access: Open Access publication


Finding optimal maintenance policies for complex multi-component systems
is a realworld challenge in the industry. This paper compares three
maintenance policies for complex systems with non-identical components
and economic dependencies in case of fault. Discrete event and Monte
Carlo simulation are used to replicate fault occurrences, while a
genetic algorithm is used to minimize the cost of maintenance by finding
optimal groups of maintenance activities. Low total average maintenance
cost and high average availability of the system are considered as
desirable objectives and the capacity of the studied policies to achieve
these goals is analyzed. None of the policies dominates the others (in a
Pareto efficiency sense), thus making the policy choice context
dependent and subject to decision makers’ preferences.

Last updated on 2020-29-09 at 11:10