Title: Exact and Heuristic Solution Methods to Optimize Maintenances and Flight Schedules of Military Aircraft

Speaker: Prof. Olga Battaïa
KEDGE Business School Campus Bordeaux, France

Summary:
In this work, we address the long-term Military Flight and Maintenance Planning (MFMP) problem, developed in collaboration with the French Air Force. We present a mathematical model to optimize this complex planning process and enhance its performance by integrating Machine Learning techniques. Specifically, we generate valid cuts based on initial problem conditions and introduce learned cuts that leverage predictive models to anticipate key characteristics of optimal solutions. The effectiveness of these approaches is thoroughly evaluated through extensive numerical experiments, highlighting significant improvements in computational efficiency and solution quality.

Biography:
Prof. Olga Battaïa has a Full Professor position in Department of Operations Management and Information Systems at Kedge Business School. She serves as Associated Editor for several international peer-reviewed journals, including the Journal of Manufacturing Systems, IISE Transactions and Omega-the International Journal of Management Science. She is also a Member of IFAC Technical Committee 5.2. Management and Control in Manufacturing and Logistics. Her research interests lie in the domains of Supply Chain Management, Operations research and Sustainable manufacturing. Olga Battaïa co-authored more than 250 scientific publications and supervised or co-supervised 18 PhD and DBA students. During last 5 years, she coordinated and participated in such research projects as: ”Design and management of sustainable and reconfigurable production systems” (ReconfiDurable), “Design of spatio-temporal networks in stochastic and dynamic environment: new mathematical models and optimization approaches “ (DESIDE) and “Planning and flexible work assignment to operators in aeronautic assembly lines: a systemic approach for addressing ergonomic and economic risks” (PER4MANCE) funded by the French National Research Agency, European project RISE MAIA – Models and Methods for an Active Ageing Workforce: an International Academy, “Sustainable Personnel Planning in Highly Customized Assembly Lines with Work Sharing” (SUPERPLAN) funded by German Research Agency (DFG).

This event is Hybrid: Meet and greet with light morning tea from 10:30 with the seminar to start 11:00
Location for in person: Melbourne Connect, Level 7, Room 290-7-7320-Meeting Room, 700 Swanston Street, Carlton 

SEMINAR: MON 28 OCTOBER 2024 11:00 -12:00 (AEDT, Melbourne Time)
ZOOM MEETING ID: 873 1557 5255; PASSWORD: 778635