Date of Award

3-22-2012

Document Type

Thesis

Degree Name

Master of Science

Department

Department of Operational Sciences

First Advisor

Raymond R. Hill, PhD.

Abstract

Increased emphasis from the Director of Operational Test and Evaluation (DOT&E) over the past few years to include statistical rigor in all testing has brought an augmented look at testing across the Department of Defense. This thesis examines the methodology currently used in live fire testing, particularly in the case of risk mitigation of the KC-46 dry-bay fire test program. The thesis addresses gaps within the methodology and analyzes the results of a statistically rigorous test. The research furthers work on modeling the characterization of ballistic impact flash by validating concurrent models and characterizing the errors prone to these models as a function of time and input factors.

AFIT Designator

AFIT-OR-MS-ENS-12-06

DTIC Accession Number

ADA559174

Included in

Risk Analysis Commons

COinS