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Management Information Systems Commons™
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Full-Text Articles in Management Information Systems
Development Of A Safety Performance Decision-Making Tool For Flight Training Organizations, Marisa Aguiar Ph.D., Carolina L. Anderson Ph.D., Dothang Truong Ph.D., Gregory S. Woo Ph.D., Kenneth Byrnes Ph.D.
Development Of A Safety Performance Decision-Making Tool For Flight Training Organizations, Marisa Aguiar Ph.D., Carolina L. Anderson Ph.D., Dothang Truong Ph.D., Gregory S. Woo Ph.D., Kenneth Byrnes Ph.D.
Journal of Aviation/Aerospace Education & Research
The purpose of the research was to create and validate a safety performance decision-making tool to transform a reactive safety model into a predictive, decision-making tool, specific to flight training organizations, to increase safety and aid in operational decision-making. Using Monte Carlo simulation, the study conducted simulation runs based on operational ranges to simulate the operating conditions with varying levels of controllable resources in terms of personnel (Aviation Maintenance Technicians and Instructor Pilots) and expenditures (active flight students and available aircraft). Four What-if Scenarios were conducted by manipulating the controllable inputs. Changes to the controllable inputs are reflected by variations …
Integrated Organizational Machine Learning For Aviation Flight Data, Michael J. Pritchard Ph.D., Austin T. Walden Ph.D., Paul J. Thomas Ph.D.
Integrated Organizational Machine Learning For Aviation Flight Data, Michael J. Pritchard Ph.D., Austin T. Walden Ph.D., Paul J. Thomas Ph.D.
Journal of Aviation/Aerospace Education & Research
Increased availability of data and computing power has allowed organizations to apply machine learning techniques to various fleet monitoring activities. Additionally, our ability to acquire aircraft data has increased due to the miniaturization of small form factor computing machines. Aircraft data collection processes contain many data features in the form of multivariate time series (continuous, discrete, categorical, etc.) which can be used to train machine learning models. Yet, three major challenges still face many flight organizations: 1) integration and automation of data collection frameworks, 2) data cleanup and preparation, and 3) developing an embedded machine learning framework. Data cleanup and …