A Data-drive Approach for Robust Cockpit Crew Training Scheduling

This work addresses the cockpit crew training scheduling problem. The objective is to produce a robust cockpit crew training schedule, including the assignment of trainees, instructors and simulators. To attain this objective, we propose a scheduling framework composed of four modules: a Training Scheduling & Assignment Model (TS&AM),...

An adaptive robust optimization model for parallel machine scheduling

Real-life parallel machine scheduling problems can be characterized by: (i) limited information about the exact task duration at the scheduling time, and (ii) an opportunity to reschedule the remaining tasks each time a task processing is completed and a machine becomes idle. Robust optimization is the natural methodology to cope with the first...

Airport Strategic Stand Capacity Assessment Applied Through a Value-Focused Thinking Process

Stand capacity assessment is an essential factor in airport planning and design due to the large investments associated with airport development. Fulfilling anticipated demand while still considering future growth is key in airport master planning. In this paper, a mixed-integer linear programming optimisation model is proposed, which determines...