Growth curve analysis applied to ammunition deterioration

Research output: Contribution to journalArticle

15 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)71-80
Number of pages10
JournalJournal of Quality Technology
Volume28
Issue number1
Publication statusPublished - 1996 Jan 1

Fingerprint

Ammunition
Growth Curve
Deterioration
Prediction Model
Necessary
Random Effects
Concurrent
Maintenance
Planning
Economics
Growth curve
Prediction model
Estimate

All Science Journal Classification (ASJC) codes

  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering
  • Statistics and Probability

Cite this

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Growth curve analysis applied to ammunition deterioration. / Sohn, So Young.

In: Journal of Quality Technology, Vol. 28, No. 1, 01.01.1996, p. 71-80.

Research output: Contribution to journalArticle

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