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Measuring taxi-out time improvements: A Six-Sigma approach in the case of Charlotte Douglas International Airport
Journal of Airport Management,
12
(2),
207-218
(2018)
Abstract
This paper compares two samples of taxi-out times in the case of Charlotte Douglas International Airport (CLT) and uses Six-Sigma principles and methods to evaluate changes in taxi-out capability. Despite higher delays owing to weather and volume, the analysis showed that process capability increased in the March to May 2017 sample compared with the March to May 2014 period, which translated into a 15.4 per cent reduction in out-of-specification taxi-out times.
Keywords: Six-Sigma; taxi-out times; process improvement; performance metrics
The full article is available to subscribers to the journal.
Author's Biography
Tony Diana is the Acting Division Manager, Outreach at the US Federal Aviation Administration (FAA). He received his doctorate in policy analysis and quantitative management from the University of Maryland, Baltimore County. He is involved in the communication of progress in modernisation programmes at US airports, metroplexes and airspaces. Prior to that position, he was Division Manager, NextGen Performance in the Office of NextGen Performance and Outreach and Deputy Division Manager, Forecasting and Performance Analysis, in the Office of Aviation Policy and Plans of the FAA, where he managed the aviation system performance metrics data warehouse. At the Maryland Aviation Administration, he was involved in performance measurement and route development. Tony’s main interests are performance evaluation and benchmarking as well as the study of delay. He is a certified Lean Sigma Master Black Belt and a certified Project Management Professional.
