This paper addresses a problem arising in the long-term maintenance programming of an iron ore processing plant of a company in Brazil. The problem is a complex maintenance programming where we have to assign the equipment preventive programming orders to the available work teams over a 52 week planning. We first developed a general mixed integer programming model which was not able for solving real instances using the CPLEX optimizer. Therefore, we also proposed a heuristic approach, based on the Simulated Annealing meta-heuristic, that was able to handle the instances.
CITATION STYLE
Aquino, R. D., Chagas, J. B. C., & Souza, M. J. F. (2018). A Mixed-Integer Linear Programming Model and a Simulated Annealing Algorithm for the Long-Term Preventive Maintenance Scheduling Problem. In Advances in Intelligent Systems and Computing (Vol. 736, pp. 144–153). Springer Verlag. https://doi.org/10.1007/978-3-319-76348-4_15
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