Monitoring Declining Quality of Ammunition Stockpile Under Step-Stress

Abstract

Most ammunition is produced long before its ultimate consumption and stored in a series of different depots for a considerably long period of time. During storage, the quality of the ammunition stockpile deteriorates proportionally to the conditions of depots. We view different conditions associated with a series of depots as step-stress. A random effects logistic regression model is employed to predict the quality of ammunition stockpile in terms of the routing information such as a series of location and duration of storage of ammunition lots. The resultant prediction model can be used to determine the appropriate time for reorder or renovation of ammunition before the quality reaches substandard. 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
Sep 01, 1993
Accession Number
ADA273272

Entities

People

  • So Y. Sohn

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Ammunition
  • Inspection
  • Maximum Likelihood Estimation
  • Monitoring
  • Munitions
  • Nonlinear Dynamics
  • Normal Distribution
  • Operations Research
  • Quality Control
  • Regression Analysis
  • Sequences
  • Stockpiles
  • Surface Warfare
  • Technical Information Centers
  • Warfare
  • Weapons

Readers

  • Computational Modeling and Simulation
  • Logistics and Supply Chain Management.
  • Software Engineering