An Application of Growth Curve Analysis to the Ammunition Stockpile Deterioration Model

Abstract

Ammunition deterioration during storage has considerable economic consequences. A reliable prediction model for the ammunition deterioration rate is necessary for long-term procurement and maintenance planning. A random effect growth curve analysis is employed to formulate a prediction model for ammunition deterioration rates in terms of concurrent characteristics such as depot condition and vendor information. The resultant 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. An example is given to illustrate the implementation procedure of the prediction model suggested in this paper.

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Document Details

Document Type
Technical Report
Publication Date
Aug 28, 1992
Accession Number
ADA256073

Entities

People

  • Sohn Y. So

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Accelerated Testing
  • Algorithms
  • Ammunition
  • Analysis Of Variance
  • Artillery Ammunition
  • Classification
  • Equations
  • Inspection
  • Maintenance
  • Munitions
  • Muzzle Velocity
  • Operations Research
  • Procurement
  • Stockpiles
  • Storage
  • Visual Inspection
  • Weapons

Fields of Study

  • Mathematics

Readers

  • Computational Modeling and Simulation
  • Logistics and Supply Chain Management.
  • Regression Analysis.