Conveners
Modelling / DoE for optimization
- Marco P. Seabra dos Reis (University of Coimbra, Department of Chemical Engineering)
Reinforcement Learning (RL) is one of the three basic machine learning paradigms, alongside supervised and unsupervised learning. RL focuses on training an agent to learn an optimal policy, maximizing cumulative rewards from the environment of interest [1]. Recent developments in RL have achieved remarkable success in various process optimization and control tasks, where multiple applications...
A class of multivariate tests for the two-sample location problem with high-dimensional low sample size data and with complex dependence structure, that are increasingly common in industrial statistics, is described. The tests can be applied when the number of variables is much larger than the number of objects, and when the underlying population distributions are heavy-tailed or...
Condition-based maintenance is an effective method to reduce unexpected failures as well as the operations and maintenance costs. This work discusses the condition-based maintenance policy with optimal inspection points under the gamma degradation process. A random effect parameter is used to account for population heterogeneities and its distribution is continuously updated at each inspection...