The Analysis of Random Effects Regression Model for Predicting the Shelf-Life of Gun Propellant.

Abstract

Most gun propellant is stored at depots for a long time before it is used. While being stored, the quality of the gun propellant may deteriorate and become unstable. In an attempt to avoid disaster due to use of unstable gun propellant, accurate prediction of the safe shelf-life of gun propellant is necessary. The shelf-life estimation methods used currently for a group of similar gun propellant lots are based on a fixed effects regression model. This does not take into consideration the fact that samples from the same lot are more similar than samples between lots. To capitalize on this lot-to-lot variation when estimating the shelf-life, first, a random effects regression model is developed. Secondly, a combined mixed effects model is estimated. The estimated model is then used to predict not only the shelf-life of a group of similar lots but also that of each individual lot of 5'/54 NACO gun propellant stockpile. The results indicate that, first, the claimed shelf-life is not adequate and requires amendment. Next, the group shelf-life estimated can be relatively conservative compared to the individual shelf-lives. In view of potential opportunity loss due to safe individual lots being discarded. Use of individual shelf-life is recommended.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1995
Accession Number
ADA295246

Entities

People

  • Wei-te Chang

Organizations

  • Naval Postgraduate School

Tags

DTIC Thesaurus Topics

  • Ammunition
  • Computer Programs
  • Confidence Limits
  • Data Analysis
  • Data Sets
  • Databases
  • Descriptive Analytics
  • Double Base Propellants
  • Gun Propellants
  • Information Science
  • Normal Distribution
  • Propellants
  • Shelf Life
  • Single Base Propellants
  • Statistical Analysis
  • Statistics
  • Stockpiles

Readers

  • Logistics and Supply Chain Management.
  • Systems Analysis and Design
  • ballistics.