A Reliability-Driven Model for Airline Crew Vacation Grid Optimization

A Reliability-Driven Model for Airline Crew Vacation Grid Optimization

A RELIABILITY-DRIVEN MODEL FOR AIRLINE CREW VACATION GRID OPTIMIZATION Company Name: Sabre Corporation Product: An optimization model/program and corresponding user manual. The Problem: Inefficiently scheduled airline crew cause poorly staffed flights, which lead to company risk and customer Background dissatisfaction. Sabre Corporation, a company based out of Southlake, Texas, is a The Solution: global technology leader in the travel industry. Sabre began in 1960 as a joint initiative between IBM and American Airlines to create a A reliability-driven computerized airline reservation system. Being one of the world’s model, which largest software companies to date, Sabre’s technology is utilized by optimizes airline crew more than a billion people across the world to plan, book and travel to vacation days and their desired destination as efficiently as possible. analyzes differences The Problem from changes in parameters or The airline crew planning problem our team has been tasked with is to constraints including optimize the number of crew vacation days allocated annually. Airline reliability level. crew scheduling is a complex and critical process in all airline operations, and it is necessary for airlines across the world to rely on Team Members: efficient scheduling to optimize the utilization of their flight crews. Madison Kiefer* The Solution Douglas Graham A model using a grid system to allocate vacation days for airline crews was prototyped using the Python coding language and the Gurobi Rachel Grout optimizer. A graphical user interface (GUI) was then developed to Devyn Heslep allow users to visually interact with the program. Finally, a user manual was formulated to describe how the GUI is used and to explain Ingram School of the underlying coding behind the mathematical optimization model. Engineering There is a trade-off between reliability and the number of vacation days allotted. A higher reliability level produces a lower optimal Texas State amount of vacation days. This complex problem is crucial to the airline University industry as crew costs are the second highest airline expenditure, only behind fuel costs. On average, saving merely a few percent of overall May 10, 2018 expenditures can prevent the loss of millions of dollars..

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