L. Ribeiro and C.A.V. Cavalcante

https://doi.org/10.19124/ima.2018.001.22

Abstract

Maintenance planning is a challenge for organizations. This is particularly evident for mission-oriented systems, since maintenance must to be performed within stoppages. In this sense, models indicate a set of actions to be performed in each stoppage by considering the operational dynamics of a system. We propose a model that address this issue in an innovative way, by considering a system working under different operational conditions โ€“ i.e. heterogeneous missions โ€“ and subject to a budget constraint. We used genetic algorithm (GA) in order to solve this problem have. Finally a case study illustrates the model applicability.

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