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Marcello Colledani

Professor, Politecnico di Milano

Dr. Marcello Colledani has a Mechanical Engineering Degree and a PhD in Manufacturing Technologies and Systems. He holds an assistant professor position at Politecnico di Milano since 2006 and he his research associate at ITIA-CNR since 2009. He is the leader of the “recycling technologies and systems Lab” within ITIA-CNR. He has carried out research activities at the Laboratory for Manufacturing and Productivity (LMP) of the Massachusetts Institute of Technology (MIT).

He is Affiliate Member of IFAC, the International Federation of Automatic Control, CIRP, The International Academy for Production Engineering and AITEM, the Italian Association of Manufacturing Technology. His research areas include stochastic modeling and analysis of manufacturing systems via analytical methods and simulation for their control and reconfiguration, modeling and analysis of advanced recycling technologies and systems. He has scientific responsibility of the EU FP7 projects RLW Navigator and RobustPlanet for POLIMI and he is also the scientific coordinator of the EU FP7 project MuProD. He has the scientific responsibility of the “Recycling Cell” within the De-manufacturing Pilot Plant installed in 2013 at ITIA-CNR.


Multi-objective Optimization of Automotive Assembly Line Configurations
Industries [Manufacturing]
Parallel Room #2, Tue, 13/05/2014 - 10:00 - 10:20

The early-stage design of automotive assembly lines is a critical, multi-objective task. The design process is typically carried out in industry by continuous iterations between the process design department and the simulation and systems engineering department. This results in a time consuming and cost-inefficient procedure, resulting in poor first-time right design performance. This paper presents a novel approach and a software platform to support the early stage design of assembly lines. It relies on the integration on a Process Concept Generator module and a System Configuration module, which in turns is based on analytical performance evaluation models, thus drastically reducing the overall time and cost of the design procedure. The effectiveness of the proposed approach in industrial settings is shown by a real door assembly line in the automotive industry, analyzed within the EU FP7 funded project RLW Navigator.

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