Growth Curve Analysis Applied to Ammunition Deterioration
作者:
SohnSo Young,
期刊:
Journal of Quality Technology
(Taylor Available online 1996)
卷期:
Volume 28,
issue 1
页码: 71-80
ISSN:0022-4065
年代: 1996
DOI:10.1080/00224065.1996.11979638
出版商: Taylor&Francis
关键词: Age Replacement;Random Effects;Regression Analysis;Reliability Modeling
数据来源: Taylor
摘要:
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.
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