Advanced Manufacturing Technology Research Group


The advances in the Information and Communication Technology (ICT) are revolutionizing our everyday life. 

However, the manufacturing industry has not taken complete advantage of this huge potential yet. The final aim of the MC-SUITE project is to open the doors of the manufacturing workshops to this new revolution. Indeed, the MC-SUITE project consortium strongly thinks that the current ICT can have a tremendous impact in the productivity increasing the competence and expertise of the European manufacturing companies and especially the SMEs.



The aim of the project is to develop the MC-SUITE application based on six different modules ready to reduce the gap between the simulated and the real process.  

Objective 1: To develop a virtual model of the machining process.  

MC-Virtual obtains the final path of the tool and the quality of the real part, the cutting force and process stability, overcoming the limits of the actual Computer Aided Manufacturing software. 

Objective 2: To apply multi objective optimization methods in manufacturing processes. 

MC-Optim optimizes the milling process considering multiple objectives including productivity, quality. 

Objective 3: To create a complete Cyber Physical System for machine productivity improvement. 

MC-CyPhy includes three different embedded systems connected to the virtual model and to the monitoring system to increase the productivity. 

Objective 4: To build up a monitoring system based on the cloud. 

MC-Monitor is a cloud based system able to store heterogeneous data including signal coming from internal sensors of the machine, from embedded systems and operator authored data. 

Objective 5: To create new services based on Big Data. 

MC-Analytics is a platform to treat the information of the cloud for predictive maintenance and productivity improvement. 

Objective 6: To combine simulated and experimental data in a complete software suite. 

MC-Bridge compares the results of the virtual model with the real ones obtained from the monitoring system. This way on-line and off-line optimizations are performed both on the simulations and on the machining process.



Ferry, N., Terrazas, G., Kalweit, P., Solberg, A., Ratchev, S. and Weinelt, D., 2017. Towards a big data platform for managing machine generated data in the cloud. In Proceedings 15th IEEE International Conference on Industrial Informatics (INDIN), Emden, Germany, 24.-26. July, 2017

(to appear: In-process Tool Wear Prediction System Based on Machine Learning Techniques and Force Analysis @ 8th CIRP Conference on High Performance Cutting)

For more publications on MC-SUITE, see here


Advanced Manufacturing Technology Research Group

The University of Nottingham
Faculty of Engineering
The University of Nottingham
University Park
Nottingham, NG7 2RD