A model for preventive maintenance planning by genetic algorithms based in cost and reliability

Lapa, Celso Marcelo Franklin; Pereira, Cláudio M.N.A.; Barros, Márcio Paes de

doi:10.1016/j.ress.2005.01.004

Cited by 135 publications

(50 citation statements)

References 24 publications

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“…Additional research on the application of genetic algorithms to maintenance optimization has been done by Lapa et al (2006). They consider flexible intervals between maintenance actions and mention the advantage of this assumption over the common methodologies of continuous fitting of the schedules.…”

Section: Heuristics and Meta-heuristics Algorithmsmentioning

confidence: 99%

Preventive maintenance and replacement scheduling : models and algorithms.

Moghaddam¹

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Section: Heuristics and Meta-heuristics Algorithmsmentioning

confidence: 99%

Preventive maintenance and replacement scheduling : models and algorithms.

Moghaddam¹

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“…The first approach requires a preference vector to construct a composite function so converting the multi-objective problem into a single-objective one. An example of the application of such a methodology in the maintenance field is proposed by Lapa et al, 18 which consider reliability and cost as objectives. A composite function is formulated and the single objective optimization problem is solved by a genetic algorithm.…”

Section: -3mentioning

confidence: 99%

A Multi-Objective Approach to Optimize a Periodic Maintenance Policy

Enea

Galante

Lupo

et al. 2012

Int. J. Rel. Qual. Saf. Eng.

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The present paper proposes a multi-objective approach to find out an optimal periodic maintenance policy for a repairable and stochastically deteriorating multi-component system over a finite time horizon. The tackled problem concerns the determination of the system elements to replace at each scheduled and periodical system inspection by ensuring the simultaneous minimization of both the expected total maintenance cost and the expected global system unavailability time. It is assumed that in the case of system elements failure they are instantaneously detected and repaired by means of minimal repair actions in order to rapidly restore the system. A nonlinear integer mathematical programming model is developed to solve the treated multi-objective problem, whereas the Pareto optimal frontier is described by the Lexicographic Goal Programming and the ε-constraint methods. To explain the whole procedure, a case study is solved and the related considerations are given.

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“…As the failure rate increases exponentially with the system working time, the periodic preventive maintenance does not achieve the desired effect, the elastic period preventive maintenance policy of the different maintenance intervals is more in line with the system failure modes [1]. Therefore, the multi-objective optimization model is established with the objective of reliability and maintenance cost.…”

Section: Introductionmentioning

confidence: 99%

Elastic Maintenance Cycle Model of System Based on Multi-objective Particle Swarm Optimization Algorithm

Zhang¹,

Li²

2016

Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science

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Abstract. The failure rate of it will increase with the increase of the system running time, the traditional periodic preventive maintenance can meet system failure characteristics, so improving the safety of gas pipeline and searching the system elastic maintenance period mode have the important practical significance. To improve the reliability of the system, control maintenance costs, according to the change of system failure rate, this paper will combine system reliability with the efficiency of system maintenance, on the theory of preventive maintenance, and use age reduction factor to establish reliability-maintenance cost multi-objective optimization model of the system. Combining with the engineering example, apply the multi-objective particle swarm optimization algorithm to solve the model example, in MATLAB platform.

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A model for preventive maintenance planning by genetic algorithms based in cost and reliability

Cited by 135 publications

References 24 publications

Preventive maintenance and replacement scheduling : models and algorithms.

Preventive maintenance and replacement scheduling : models and algorithms.

A Multi-Objective Approach to Optimize a Periodic Maintenance Policy

Elastic Maintenance Cycle Model of System Based on Multi-objective Particle Swarm Optimization Algorithm

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