Date of Award
12-1997
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Systems Engineering and Management
First Advisor
W. Brent Nixon, PhD
Abstract
Eighteen methodologies for forecasting facility maintenance and repair funding requirements were investigated and analyzed to determine which methodology is best suited for use by the United States Air Force (USAF). The literature review identified four primary factors, or criteria, that determine facility maintenance and repair funding requirements. The methodologies were scored against the four criteria with respect to their appropriate application to USAF requirements. An analysis of dominance was accomplished; the results suggested that no one methodology was clearly superior. Fourteen of the methodologies were dominated, and consequently eliminated from further analysis. Four methodologies were non-dominated: the U.S. Army Construction Engineering Research Laboratories (USACERL) BUILDER; USACERL Maintenance Resource Prediction Model; U.S. Army Installation Status Report; and the USAF Plant Replacement Value-Facility Investment Metric (PRV-FIM). Further analysis was accomplished using the multi-criteria decision-making techniques of lexicographic analysis and the Technique for Order Preference by Similarity to Ideal Solution (TOPS IS). The results suggested the USAF PRV-FIM methodology is only preferable when the most important consideration is limiting the amount of data that must he collected and maintained. Otherwise, the USACERL BUILDER methodology may best serve the USAF in justifying to Congress and the public, its facility maintenance and repair level of investment determination.
AFIT Designator
AFIT-GEE-ENV-97D-21
DTIC Accession Number
ADA334347
Recommended Citation
Ottoman, Gregory R., "Forecasting Methodologies for USAF Facility Maintenance and Repair Funding Requirements" (1997). Theses and Dissertations. 5735.
https://scholar.afit.edu/etd/5735