November 27, 2019

228 words 2 mins read

Data-driven fuel management at Ryanair

Data-driven fuel management at Ryanair

Managing fuel at a company flying 120 millions passengers yearly is not a trivial task. Marcin Pilarczyk explores the main aspects of fuel management of a modern airline and offers an overview of machine learning methods supporting long-term planning and daily decisions.
Talk Title Data-driven fuel management at Ryanair
Speakers Marcin Pilarczyk (Ryanair)
Conference Strata Data Conference
Conf Tag Big Data Expo
Location San Jose, California
Date March 6-8, 2018
URL Talk Page
Slides Talk Slides
Video

Ryanair is the biggest European airlines with a fleet of 400 Boeing 737 NGs making more than 2,200 flights daily and carrying around 120 millions passengers in 2016. And it’s growing—by 2024 Ryanair estimates it will have 200 million passengers. There are multiple ways the company is supported by machine learning. Marcin Pilarczyk explores the main aspects of fuel management of a modern airline (i.e., how to fly cheaper and therefore offer cheaper tickets) and offers an overview of machine learning methods supporting long-term planning and daily decisions. There are multiple area where flight operations decisions can be supported by using advanced analytics: Multiple data sources are used to provide insights: transactional data belonging to MS world, quick access recorder data, radar data, weather reports, pilot reports, and multiple static sources. The data is processed with Spark on an on-premises Cloudera cluster, Microsoft SSIS, and R and presented mainly with Tableau.

management cloud spark microsoft analytics machine learning data-driven cluster
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