Real-time control and optimization for smart factories and advanced manufacturing

Project duration: 2019-2021

Project coordinator: Polytecnico di Milano & Singidunum University

Participants from Singidunum University: Fagiano Lorenzo, Tanasković Marko

Abstract: The research activity is in the framework of a three-years-long international collaboration project between Italy and Serbia, co-funded by the Italian Ministry of Foreign Affairs and International Cooperation. The goal of the project is to develop and test advanced techniques to optimally manage and control manufacturing plants in real-time. Sophisticated dynamical models of manufacturing plants will be developed and used to deploy Model Predictive Control systems able to schedule and adjust in real time the plant production, considering altogether the order forecasts, system constraints, and efficiency (throughput) maximization. Advanced condition monitoring, predictive maintenance, reconfiguration, and fault detection schemes will be developed as well and merged in the optimal real-time decisioning system. The methodology will include theoretical activities, software implementation, and numerical and experimental tests, using a test-bed already available. The activities will be in close collaboration among three partners: the Politecnico di Milano and the National Research Council in Italy, and Singidunum University in Serbia. The expected scientific/technical results are innovative techniques to boost productivity and efficiency in smart factories.