Background: Logistics and transport, core of many business processes, are continuously optimized to improve efficiency and market competitiveness. The paper describes a modular coordination of vehicle routing and bin packing problems that enables independent instances of the problems to be...

This study introduces an approach to improving the utilization of solar energy in facilities by integrating advanced machine learning (ML) techniques into solar power scheduling. Traditional methods, often constrained by static schedules, fail to adequately adapt to the inherently dynamic and...

This working paper provides an assessment of the impacts of algorithmic management (AM) tools on working conditions, job quality, and industrial relations in the logistics sector of France. It analyses the different ways algorithmic management technologies affect coordination, distribution and...