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This paper analyzes the impact of the December 2022 winter storm on Southwest Airlines (SWA). The storm caused delays and cancellations for all airlines, but SWA was the only major airline that was unable to recover fully. The disruption was unique due to the higher volume of people traveling during the holiday season and the lack of good alternative transportation for stranded passengers. The paper explains SWA's point-to-point (PTP) model, which allows them to offer competitive ticket prices, and organizational factors that have helped them hold a significant market share. The paper also discusses previous failures of SWA's IT and aircraft maintenance management systems and the outdated crewing system, which were not addressed until after the storm. The paper uses AnyLogic agent based modeling to investigate why SWA was so affected and why it took them so long to recover.
- Bray, Mariana (Author)
- McCarville, Daniel (Thesis director)
- Kucukozyigit, Ali (Committee member)
- Barrett, The Honors College (Contributor)
- Industrial, Systems & Operations Engineering Prgm (Contributor)
- School of Mathematical and Statistical Sciences (Contributor)
- 2023-05-05 01:10:03
- 2023-05-23 06:02:59
- 1 year 5 months ago