A Decision Support System for Acquisition of F-16 Avionics Intermediate Shop Test Sets Using the System Science Paradigm and Q-GERT.

摘要

Acquisition of support equipment is an integral part of initial logistics support for new weapons systems. However, uncertainty exists as to determining how much support equipment should be acquired to effectively and efficiently support a weapons system. Although many quantitative decision support tools have been developed to assist DOD logistics managers in determining the amount of support equipment required, the authors conclude that a modified F-111 test set utilization model, with contractor-provided engineering estimated parameters, was used to determine support equipment requirements for the F-16 aircraft. Using systems theory and queueing modeling to represent the F-16 LRU repair cycle process, the authors developed a Q-GERT simulation model to act as a decision support system for use in experimenting with varying quantities of F-16 AIS test sets. After statistical analysis of F-16 real world data and simulation results, the authors conclude that a Q-GERT simulation model can be used to represent the real world F-16 LRU repair cycle. In addition, two AIS test sets will statistically significantly reduce LRU awaiting maintenance times, but three will not.