A comprehensive framework and solution approach for scheduling flexible projects

01 October 2017 → 30 September 2021
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Applied mathematics in specific fields
    • Statistics and numerical methods
  • Social sciences
    • Business administration and accounting
    • Management
project scheduling flexibility optimization dynamic scheduling uncertainty decision support
Project description

We introduce a project scheduling problem that leverages flexibility to face the volatile project environment. Three research studies are performed. The first study suggests a comprehensive framework that includes flexibility in the scheduling process. The second study proposes advanced algorithms to design flexible project schedules. The last study investigates the impact of uncertainty on the scheduling decisions in flexible projects.