Decision Science for Disruption Recovery at Delta Air Lines
The operational teams at Delta Air Lines manage an environment of live, constantly changing constraints that have a serious impact on the customer experience and operational reliability of the airline as well as to the health and safety of customers and employees. These constraints are represented by hundreds of data points for every flight that must each be reviewed and acted upon by these operational experts, covering weather concerns, airport staffing levels, gating availability, Air Traffic Control actions, and more.
Predictive and prescriptive analytic solutions can help expose upcoming disruption to the airline’s operations and recommend sets of solutions to best mitigate the risks from these schedule interruptions. In particular, these models and tools can simulate a variety of possible disruption scenarios to enable advance planning for irregular operations and well as to suggest recovery options for aircraft routing and crew staffing, all to minimize delays and cancellations and provide a safe and reliable customer experience.
Dot Green is a manager of predictive analytics on the Operations Decision Science (ODS) team at Delta Air Lines. She joined the team in 2018 after completing a Master of Science in Analytics at Georgia Tech, concentrating in Business Analytics. Dot also holds a Bachelor of Science in Business Administration, concentrating in IT Management from Georgia Tech. The ODS team provides decision support across all major operational divisions using advanced analytics including machine learning and optimization. Since joining the team in 2018, Dot has led projects spanning data engineering, product development, simulation, and predictive analytics. Dot grew up and currently resides in Atlanta, GA.
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