Use of Particle Swarm in the maintenance plan optimization

S. Carlos, S. Martorell, M. Villamizar, A. Sánchez

Research output: Chapter in Book/Report/Conference proceedingConference and proceedingspeer-review

1 Scopus citations


Maintenance planning is formulated traditionally in terms of a multi-objective optimization problem where reliability, availability, maintainability and cost act as decision criteria and maintenance intervals act as decision variables. Recently, the study of the maintenance planning has been extended to consider in the optimization process the effect of human and material resources on reliability, availability, maintainability and cost models, in order to obtain a more realistic maintenance plan, as it has been observed that the non consideration of these resources may suppose large deviations in the unavailability and cost goals presumed at their optima. In this context, however, the optimization of the maintenance plan involves often a high number of decision variables. These types of problems have been solved in the past using meta-heuristics optimization techniques such as Genetic Algorithms. This paper proposes and demonstrates the good performance of another modern meta-heuristics technique called Particle Swarm Optimization. In this paper the maintenance plan optimization of a motor-driven pump group of a Nuclear Power Plant, considering as decision criteria the cost and reliability and as decision variables, the maintenance and test intervals, human resources and spare parts is performed applying the new tool.

Original languageEnglish
Title of host publicationMarine Technology and Engineering
Number of pages8
StatePublished - 2011
Externally publishedYes
Event1st International Conference of Maritime Technology and Engineering, MARTECH 2011 - Lisbon, Portugal
Duration: 10 May 201112 May 2011

Publication series

NameMarine Technology and Engineering


Conference1st International Conference of Maritime Technology and Engineering, MARTECH 2011

Bibliographical note

Funding Information:
The authors thank the anonymous reviewers for their helpful suggestions, as well as Gregory Carter and Brian Hosgood for providing relevant technical information regarding their own experiments involving the measurement of foliar spectral properties. The authors are also grateful to the Joint Research Centre of the European Commission for granting them access to LOPEX data set. The work presented in this article was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC grant 238337) and the Canada Foundation for Innovation (CFI grant 33418).


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