Statistically derived system relationship models for the SASSY Management Unit, 1st Force Service Support Group, Camp Pendleton, California

This thesis develops thirty-one models defining various Supported Activity Supply System (SASSY) relationships as seen from the perspective of the SASSY Management Unit. Multiple linear regression combined with time series analysis is used on data drawn from the SASSY Management Unit at Camp Pendleton, California. Two years of data are used in developing the models, which are then tested against five months of actual data to determine their abilities to describe and predict. The utility of this thesis lies in its application at both local and higher organizational levels for funding and management decisions. The quantification of the SASSY relationships is especially useful when auditing SASSY operations as deviations from historical patterns are immediately evident. The ability to predict future values with equations making use of the time-lagged data gives the manager a greater flexibility in his operations, and will tend to bring the higher and lower organizational levels of management a more common understanding of the problems faced by the SASSY Unit, thus providing greater structure to the decision making process.
http://archive.org/details/statisticallyder1094520680
Major, United States Marine Corps
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