Predição e Simulação em Ativos Industriais

The lectures are mostly expository, with presentation and discussion of the topics of the program.
They are also used for presentation and discussion of works and practical examples of application of technologies, including guest lectures.

In practical classes, exercises, practical work and presentations are held.

1. To learn techniques and tools to support forecasting in maintenance and operations management.
2. To apply techniques and tools to support simulation in maintenance and operations management.

1 Prediction in Maintenance and Operations Management
1.1 Forecasting, Prediction, and Prognostication
1.2 Classical and Statistical Models
1.3 Prediction with LSTM, GRU, seq2seq, and Transformer Models
2 Introduction to Simulation
2.1 Behavior of Random Variables
2.2 Process Simulation, Analysis, and Validation of Results
2.3 State-Space Search, Decision Making with Uncertainty, and Game Theory
2.4 Industrial Applications in Problem Solving Using Agent-Based Search, Rule-Based, or Learning
2.5 Modeling Univariate Systems – Hill Climbers and Simulated Cooling
2.6 Multiobjective Systems. Pareto Front and Evolutionary Methods
2.7 Simulation with SimPy and AnyLogic.

• - Exam - 60.0%
• - Individual and/or Group Work - 40.0%

NAO