Optimization of a Failure – prone Manufacturing System with Regular Preventive Maintenance: an IPA Approach

Edwin, D.; Gomez, U.; Hennequin, Sophie; Rezg, Nidhal

doi:10.3182/20110828-6-it-1002.02305

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…Maintenance planning is an optimisation problem which consists in maximising the Net Present Value (NPV) of the maintenance strategy of an asset or multi-component systems. A maintenance strategy can go from a simple scheduling of maintenance operations [1], maintenance intervals [2] or a more holistic approach taking into account spare part stock management and logistics [3].…”

Section: Introductionmentioning

confidence: 99%

Iterated Racing Algorithm for Simulation-Optimisation of Maintenance Planning

Lacroix

McCall

Lonchampt

2018

2018 IEEE Congress on Evolutionary Computation (CEC)

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The purpose of this paper is two fold. First, we present a set of benchmark problems for maintenance optimisation called VMELight. This model allows the user to define the number of components in the system to maintain and a number of customisable parameters such as the failure distribution of the components, the spare part stock level and every costs associated with the preventive and corrective maintenances, unavailability and spare parts. From this model, we create a benchmark of 175 optimisation problems across different dimensions. This benchmark allows us to test the idea of using an iterated racing algorithm called IRACE based on the Friedman statistical test, to reduce the number of simulations needed to compare solutions in the population. We assess different population size and truncation rate to show that those parameters can have a strong influence on the performance of the algorithm.

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Section: Introductionmentioning

confidence: 99%