Italy Associate Professor of Industrial Mechanical Systems Engineering University of Bologna
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Graduated cum laude in Engineering Management in 2008 (Master degree) at Alma Mater Studiorum – University of Bologna and in Industrial Engineering in 2013 (Ph.D. degree) at University of Padova, Marco Bortolini is Senior Researcher at the Department of Industrial Engineering of Bologna University, Italy.

His current scientific, teaching, research and technological transfer activities focus on the study and implementation of innovative methods and tools for the design, management, optimization and simulation of production systems, logistic activities and facility service plants from a multi-objective perspective – Industrial Systems Engineering scientific sector.

His key research topics include:
 – Industry 4.0, enabling technologies and their impact on production systems;
 – Design, techno-economic optimization and operative simulation of flexible and reconfigurable production systems;
 – Design and management of manufacturing and collaborative assembly cells;
 – Supply Chain Management and Green Supply Chain Management;
 – Advanced multi-objective models for production planning and inventory management.


High flexibility, dynamic demand, increasing customization, high quality standards, small batches and short life cycle are the key factors of the Industry 4.0 era. Innovative flexible manufacturing and assembly systems (FMSs & FASs) need to match these factors joining productivity to versatility, quality to adaptability. In this context, high-speed manufacturing machines, robotic handling devices, automated guided systems (AGVs) and human operators are connected and they have to act synergically.

This course aims at exploring a coordinated panel of (1) design methods, (2) support strategies and (3) quantitative approaches to help the Industry 4.0 practitioners in the tactical and operative management of innovative production systems.

AI and Manufacturing

The digital transformation is determining significant changes in operations and supply chain management (SCM) processes. Technologies such as Internet of Things (IoT) and Cyber Physical Systems, artificial intelligence (AI), robotics, cyber security, data analytics, block chain and cloud technology are radically transforming production and distribution systems. This course aims to investigate these transformations to understand the firms’ ability of gathering and analysing information about their environment can generate significant value to the SCM processes.

Business Analytics and Data Science