Feasibility of Measuring Technical Productivity Improvements in Air Fore Logistics Command Depot-Level Maintenance Using the Data Envelopment Analysis (DEA) and Constrained Facet Analysis (CFA) Models.

摘要

In response to a Headquarters Air Force Logistics Command thesis proposal, this research demonstrated the feasibility of measuring technical productivity in a depot maintenance environment. Linear fractional programming techniques called Data Envelopment Analysis (DEA) and Constrained Facet Analysis (CFA) were used to show that the productivity of not-for-profit maintenance organizations can be reliably measured and directly supportive of management decision making. DEA/CFA analyses can measure multiple inputs and outputs simultaneously and display results in an easily understood format. This research stresses close cooperation between modelers and managers in selecting input/output variables so that information derived from the analysis can be used effectively. The results of this research were accepted by using managers as accurate, simple and useful in their decision making. Additionally, DEA/CFA techniques appear to have a wide range of potential uses in many Air Force organizations where productivity, capacity and resource allocation analysis are needed. (Author)