Decreasing Nonconformance of Parts in the Air Force Supply System
Abstract
The purpose of this thesis was to provide AFLC (Air Force Logistics Command) with a prototype decision model which will help AFLC engineers decide when post-production testing for a particular NSN (National Stock Number) is beneficial to the Air Force, as well as what action the Air Force should take as a result of that testing. The problem is a two sided issue. On one hand, nonconformance costs the Air Force in terms of damaged equipment and potential harm to personnel. On the other hand, the Air Force cannot afford to test everything. The study provides an initial step in developing a decision aid to help AFLC allocate its scarce testing resources. Sensitivity analysis was performed on this model by using the techniques of Response Surface Methodology. For the data used in this study, the random variable which has the greatest impact on the expected cost to the Air Force is the expected dollar value that a single part can be expected to cause given that the part is in nonconformance with its specifications. This result was confirmed using traditional EVPI (expected value of perfect information) calculations. The most significant contribution of this study is the development of a graphic decision aid. With this aid, the decision maker can graphically see how the present situation relates to a 'break-even line', or indifference curve.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1988
- Accession Number
- ADA206162
Entities
People
- Matthew A. Stone
Organizations
- Air Force Institute of Technology