Manufacturing industries are witnessing significant technological advances aimed at enhancing their efficiency and productivity. The Internet of Things (IoT) enables information from all related participating systems
in the right perspectives/context to be collected/monitored/used to have close collaboration, coordination, synchronisation between the different factory/plant systems and computational space. This collaboration,
at multiple levels (machines, cells, production lines, production floor, plant, enterprise, eco-system), enables the manufacturing industries to transform into Industry 4.0. and necessitates the following:Self-organisation
through learning from history and collaborations.
To improve human - machine collaboration and enable machines to learn from explicit and implicit data. Technologies such as machine learning and deep learning
already allow the production systems to move away from making fixed decisions to exhibiting context-aware strategy executions. However, a key challenge with the learning technologies is to enable their learning
by providing them with the training data, so that they guarantee the required reliability and safety, demanded by manufacturing plants which implement them.