Growth Curve Analysis Applied to Ammunition Deterioration

Article

Sohn, So Young   (1996, ASQC)   Rensslaer Polytechnic Institute, Troy, NY

Journal of Quality Technology    Vol. 28    No. 1
QICID: 11438    January 1996    pp. 71-80
List $10.00
Member $5.00

FOR A LIMITED TIME, ACCESS TO THIS CONTENT IS FREE!
You will need to be signed in.
New to ASQ? Register here.

Article Abstract

Ammunition deterioration during storage has considerable economic consequences. Thus, a reliable prediction model for the ammunition deterioration rate is necessary for long-term procurement and maintenance planning. The purpose of this paper is to formulate a prediction model for ammunition deterioration rates in terms of concurrent characteristics such as depot condition and vendor information using a random effects growth curve analysis. The resulting prediction model can be used to determine the appropriate time for reorder or renovation of ammunition before the quality reaches unacceptable levels. A two-stage analysis is used to estimate parameters involved in the prediction model. Necessary estimation methods are discussed and an example is given to illustrate the procedure

Keywords

Age replacement,Reliability,Regression analysis,Random effects


Browse QIC Articles Chronologically:     Previous Article     Next Article

New Search

Featured advertisers





ASQ is a global community of people passionate about quality, who use the tools, their ideas and expertise to make our world work better. ASQ: The Global Voice of Quality.