Date of Award

3-21-2019

Document Type

Thesis

Degree Name

Master of Science in Logistics and Supply Chain Management

Department

Department of Operational Sciences

First Advisor

Daniel W. Steeneck, PhD

Second Advisor

Seong-Jong Joo, PhD

Abstract

During the life of an aircraft, several failures may occur causing unplanned maintenance and costs of parts, labor, transportation, lost opportunities, and operations, among others. The prediction of these events becomes especially difficult for new airframes, since they do not have many flight hours or enough data to observe failures. This study analyzes and model the time between failures (TBF) of the Brazilian Air Force T-27 Tucano fleet by applying various non-parametric, semi-parametric, and parametric statistical models, to the TBF, such as the descriptive statistics, Kaplan-Meier estimators, Cox proportional hazards models, with or without frailty, and survival regression models, with or without frailty. The study concludes by proposing a failure model that can be applied to the new similar airframes.

AFIT Designator

AFIT-ENS-MS-19-M-139

DTIC Accession Number

AD1077518

Comments

co-advised thesis

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