PHD: Management, Economics and Industrial Engineering - Politecnico di Milano

Master of Science: Management Engineering - Politecnico di Milano

Emilio Moretti obtained his PhD with a dissertation on the design and management of mass-customized factory logistics systems in the 4.0 technological landscape. His other research areas include the application of automated technologies in warehouses and the design of global distribution networks. Recently, his research focuses on the development and application of data-driven approaches to support the design and management of logistics systems.

Moretti, E., Tappia, E., Limère, V. and Melacini, M., 2021. Exploring the application of machine learning to the assembly line feeding problem. Operations Management Research, 14(3), pp.403-419.

Moretti, E., Tappia, E., Mauri, M. and Melacini, M., 2022. A performance model for mobile robot-based part feeding systems to supermarkets. Flexible Services and Manufacturing Journal, 34(3), pp.580-613.

Napoleone, A., Moretti, E., Macchi, M. and Melacini, M., 2024. Synchronisation of material flows in mass-customised production systems: a literature-based classification framework and industrial application. Production Planning & Control, 35(14), pp.1760-1778.

Tappia, E., Moretti, E., Mohring, U. and Adan, I., 2025. Part feeding scheduling for mixed-model assembly lines with autonomous mobile robots: benefits of using real-time data. International Journal of Computer Integrated Manufacturing, 38(4), pp.485-500.

Prataviera, L.B., Perotti, S., Melacini, M. and Moretti, E., 2020. Postponement strategies for global downstream supply chains: A conceptual framework. Journal of Business Logistics, 41(2), pp.94-110.