Paul D. Faas

Date of Award


Document Type


Degree Name

Master of Science


Department of Operational Sciences

First Advisor

John O. Miller, PhD


The Air Force needs tools for analysis and evaluation of new logistic operational concepts. The purpose of this research was to conflict a discrete event simulation model of the aircraft sortie generation process to permit what-if analyses of these concepts. The current Air Force logistics operations system is reactive in nature meaning that after the aircraft detects a part failure, the maintenance person must perform fault isolation procedures and then steps are taken to repair or replace the faulty item. The Autonomic Logistics System (ALS) concept changes the reactive process into a proactive one with the employment of technologies such as prognostics and distributed information network. Certain logistics tasks can be handled automatically or autonomously i.e. ordering parts, requesting maintenance specialists, and notifying maintenance control center. The conclusion of this research was that an aircraft equipped with the ALS increased the measures of effectiveness (MOE) like mission capable rate and flying scheduling effectiveness tip to a point. The research indicated that as ALS false alarms grew these MOEs decreased and eventually were worse than the baseline system. However, it is worth noting that this research simulated a worst case false alarm scenario, a part removal and replacement with each false alarm.

AFIT Designator


DTIC Accession Number