A Genetic Algorithm Approach for Multi-category Preventive Maintenance Scheduling
نویسندگان
چکیده
In the literature, preventive maintenance (PM) tasks are treated as one category of work such that they were interchangeable in scheduling. It is not practical in the real production system as different categories of maintenance tasks should be independent. Thus, this work modeled a new Production-Maintenance Scheduling (PMS) problem that considered different categories of maintenance with different maintenance intervals and durations. To solve the new problem, we developed a genetic algorithms approach named the Second Generation of Genetic Algorithms with Dominant Gene (GADGII). The numerical results showed that the proposed GADGII outperforms the traditional GADG with shorter makespans.
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