PhD - Digital Twin-Driven Warehouse Optimization: Advancing Efficiency and Ergonomics in Modern Warehouse Operations

This thesis proposes integrating multimethod simulation models to develop a digital twin aiming to optimize warehouse operations with a strong emphasis on ergonomic considerations. It employs, Optimization and Simulation to advance warehouse management, filling notable gaps in the current literature.

The research, positioned at the forefront of the state of the art, aims to design warehouses that balance efficiency with ergonomic optimization. Methodologically, it involves applying optimization and Discrete Event Simulation (DES) for modeling order-picking processes and Multi-Agent Systems (MAS) for simulating interactions among Automated Guided Vehicles, cobots, and human workers. This approach leads to the development of a decision-making tool for warehouse operations.

This collaboration between IMT Nord Europe and the University of Padua combines expertise in manufacturing and logistics, optimization, and simulation. The anticipated outcomes include enhanced methodologies for ergonomic integration in warehouse operations, and balancing human-centric design with operational efficiency. These contributions are expected to develop future warehouse management research and practices, in line with the EU Commission's Industry 5.0 guidelines, promoting sustainable, resilient, and human-centered models.

Funding category: Autre financement public

Région

PHD Country: France