Date of Graduation
5-2011
Document Type
Thesis
Degree Name
Bachelor of Science in Industrial Engineering
Degree Level
Undergraduate
Department
Industrial Engineering
Advisor/Mentor
Chimka, Justin
Abstract
The objective of this project is to understand the usual or “acceptable” characteristics of general aviation flights and airports so that unusual activity can be detected, analyzed, and resolved. To do this, a quality control model may be built to determine whether an airport is at high risk for a terrorist attack. For an appropriate model to be built there must be an adequate amount of data that describes the general aviation airport and its operations. In order to facilitate this data the general aviation industry must “continue to improve intelligence and information sharing (Homeland Security Advisory Council 2008).” This exploratory project should support work by the Center for Dynamic Data Analysis, and Purdue University Regional Visualization & Analytics Center. We will base our methods specifically on generalized linear models, and the context will be limited to GA security. This opportunity to specialize on a smaller scale should afford us unique insights. Our goal is to analyze integrated data and information using statistical quality control in order to improve standards of security in place for the general aviation industry.
Citation
Black, R. (2011). Re-estimating and remodeling general aviation operations. Industrial Engineering Undergraduate Honors Theses Retrieved from https://scholarworks.uark.edu/ineguht/17
