Analysis of the Data Development Analysis (DEA) and Constrained Facet Analysis (CFA) Models for Measuring Technical Productivity in Air Force Logistics Command Depot-Level Maintenance.
Abstract
This thesis developed from a recommendation by an earlier research effort, sponsored by HQ AFLC, to expand the application of Data Envelopment Analysis (DFA) and Constrainted Facet Analysis (CFA) to measure technical productivity in a depot level maintenance environment. Two levels of productivity within an Air Logistics Center, the Resource Cost Center (RCC) and the Section, which is composed of several RCC, were analyzed to support management decisions for improving the efficiency of production. Each organization was analyzed over a time period of twelve quarters. This research proved the DEA/CFA model is an effective tool for total productivity measurement and demonstrated the need for careful selection of input/output measures. The use of the DEA/CFA model and results of this research were accepted by management as a useful method for analyzing, the productive efficiency of an organization and determining the impact of sub-units (RCCs) on the overall productive efficiency on the next level up (Section) in the organization. Keywords: Productivity, Production Models, Efficiency, Effectiveness, Linear Programming, Data Envelopment Analysis, Constrainted Facet Analysis.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 1985
- Accession Number
- ADA161398
Entities
People
- Charles S. Glaubach
Organizations
- Air Force Institute of Technology