Shift Planning with Artificial Intelligence within the Scope of Strategic Decision-Making Approach in Airport Ground Handling Operations

This study examines the potential contribution of artificial intelligence-based shift planning to strategic decision-making processes in airport ground handling operations. Today, the need for decision-making aligned with multidimensional goals such as resource management, legal compliance, and employee satisfaction alongside operational efficiency, is increasingly evident. In this context, considering the multi-departmental structure of a ground handling company operating at Antalya Airport, traditional shift planning was comparatively analyzed against AI-supported optimization. During the implementation process, not only operational outputs but also the managerial benefits of decision support systems were evaluated. The findings reveal that AI-based planning enhances not only efficiency but also strategic flexibility and predictability. By demonstrating that digital technologies enable a data-driven and agile decision-making approach in human resources planning, this study makes a meaningful contribution to theoretical gaps in literature.