This paper presents an algorithm to solve the combinatorial optimization problem in the definition of preventive maintenance plans. This problem is not easy to solve, since tasks performed on assets can be redundant or not required. The objective is a more accurate definition of plans to reduce maintenance costs, where different optimization algorithms can be used. Taking a single optimization algorithm approach could serve to find an optimal solution depending of the use case, but it does not find reliable results in a generic way. The new hybrid approach with 4 different algorithms shows that better results are obtained than the use of the individual optimization algorithms.
CITATION STYLE
Gilabert, E., Konde, E., Arnaiz, A., & Sierra, B. (2018). A hybrid optimization algorithm for standardization of maintenance plans. In Studies in Computational Intelligence (Vol. 798, pp. 135–144). Springer Verlag. https://doi.org/10.1007/978-3-319-99626-4_12
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