Developing Algorithms for Intelligent Predictive Manufacturing Systems

The project involves developing intelligent algorithms for predictive manufacturing systems applied to shopfloor operations and/or supply chain within a manufacturing enterprise. The aim of the project can be improvements in the relevant Key Performance Indicators such as increase in productivity, decrease in manufacturing cost, or for example creating intelligent platforms such as predictive maintenance. The research may include, but not limited to, the development of ontology engineering and semantic web, agent-based systems, multi agent systems, holonic manufacturing systems, machine learning, and cloud manufacturing. The project is supported by industrial companies providing real industrial data and case studies.