The adoption of integrated automation systems for managing logistics flows is now a strategic lever to improve production efficiency, reduce energy consumption and meet the current goals in sustainability and industrial digitization. In this context, this thesis has been developed in collaboration with GAI Macchine Imbottigliatrici S.p.A., a leading company in the beverage sector, with the aim of analyzing and optimizing the logistical and energy performance of an ASRS (Automated Storage and Retrieval System) system subject to an expansion intervention. The activity involved an in-depth study of the main components of the automated stacker crane warehouse – stacker cranes, shuttles and automated guided vehicles – aimed at developing a reliable and replicable energy model.