Data-Driven Optimization for Inbound Logistics

This document is a technical report that outlines a data-driven optimization approach for inbound logistics, specifically focusing on gate and apron management at airports. It describes the challenges faced in assigning aircraft to optimal gates, including the complexity of operational disruptions and the combinatorial nature of allocation problems. The report presents a solution developed by Lufthansa Industry Solutions, which utilizes an AI-powered optimization platform that considers all relevant operational constraints and provides three operational modes: scheduling, live, and intervention. The solution aims to enhance decision-making efficiency, reduce manual interventions, and improve overall capacity utilization. Additionally, the report discusses the potential transferability of this optimization approach to various logistics scenarios, emphasizing its applicability in dynamic management of inbound deliveries and resource allocation. The findings indicate significant improvements in gate capacity and passenger journey efficiency, showcasing the solution's ability to enhance operational resilience and service quality across logistics operations.