ABSTRACT
This chapter deals with some algorithms that may help to plan maintenance. The emphasis is on time series forecasting, with tools for periodic and aperiodic forecasting presented.
The tools presented can be used in situations both when there are historic data and not, especially the latter, which increases maintenance planning versatility.
Additionally, some other planning methods are summarily presented, such as of neural networks, discrete system simulation, and the support vector machine (SVM), among others.
