Episode 73: How Air France harnessed the power of mathematical optimization to transform decision-making
In this episode, we explore how Air France harnessed the power of mathematical optimization to transform decision-making and unlock millions in savings.
From the turning point that sparked their journey, to choosing Gurobi as their solver, and tackling the complex challenge of tail assignment optimization, we dive into the real-world impact of advanced modeling—reducing delays, improving efficiency, and maximizing resources.
Our guest, Julie Pozzi, Head of Data & AI at Air France-KLM, shares insights on building internal capabilities, winning leadership buy-in, and bridging the gap between business challenges and mathematical models. We’ll also look at what’s next for optimization at Air France, and how this technology is shaping the future of aviation and beyond.
Timestamps:
00:00 - Introduction to the Industrial Innovation Podcast
02:23 - Julie's Role and Challenges at Air France KLM
04:07 - The Historical Foundation of Airline Optimisation
06:05 - Choosing Gurobi: The Solver Selection Process
08:24 - Tail Assignment: A Core Optimisation Challenge
12:37 - Beyond Tail Assignment: Three Major Optimisation Systems
19:53 - Implementation Challenges: The Human Element
32:50 - The Future of Optimisation: Integration and Real-Time
RECOMMENDED RESOURCES
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Learn more about Airfrance KLM
