Gaming the system - i.e., strategic attempts to manipulate the input(s) for, or one's interactions with, an algorithmic system to try to secure a better outcome than intended by the system's design - is commonly portrayed as a threat to online platforms and services. Tech companies often use...

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...

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...

With the widespread adoption of automated guided vehicle (AGV) systems for material handling in manufacturing plants, it has become practical and crucial to delve into the layout problem associated with AGV systems. In this work, we focus on a unique layout problem encountered in a hybrid...