Monitoring declining quality of ammunition stockpile under step stress

Research output: Contribution to journalArticle

5 Citations (Scopus)

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 condition of the 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 locations 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 becomes substandard. An example is given to illustrate the implementation procedure of the prediction model suggested in this article. © 1994 John Wiley & Sons, Inc.

Original languageEnglish
Pages (from-to)707-718
Number of pages12
JournalNaval Research Logistics (NRL)
Volume41
Issue number6
DOIs
Publication statusPublished - 1994 Jan 1

Fingerprint

Ammunition
Monitoring
Prediction Model
Series
Logistic Regression Model
Random Effects
Period of time
Routing
Predict
Logistics
Prediction model

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Ocean Engineering
  • Management Science and Operations Research

Cite this

@article{ae25de55a77b46748b447c124c014487,
title = "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 condition of the 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 locations 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 becomes substandard. An example is given to illustrate the implementation procedure of the prediction model suggested in this article. {\circledC} 1994 John Wiley & Sons, Inc.",
author = "Sohn, {So Young}",
year = "1994",
month = "1",
day = "1",
doi = "10.1002/1520-6750(199410)41:6<707::AID-NAV3220410603>3.0.CO;2-R",
language = "English",
volume = "41",
pages = "707--718",
journal = "Naval Research Logistics",
issn = "0894-069X",
publisher = "John Wiley and Sons Inc.",
number = "6",

}

Monitoring declining quality of ammunition stockpile under step stress. / Sohn, So Young.

In: Naval Research Logistics (NRL), Vol. 41, No. 6, 01.01.1994, p. 707-718.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Monitoring declining quality of ammunition stockpile under step stress

AU - Sohn, So Young

PY - 1994/1/1

Y1 - 1994/1/1

N2 - 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 condition of the 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 locations 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 becomes substandard. An example is given to illustrate the implementation procedure of the prediction model suggested in this article. © 1994 John Wiley & Sons, Inc.

AB - 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 condition of the 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 locations 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 becomes substandard. An example is given to illustrate the implementation procedure of the prediction model suggested in this article. © 1994 John Wiley & Sons, Inc.

UR - http://www.scopus.com/inward/record.url?scp=84989685216&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84989685216&partnerID=8YFLogxK

U2 - 10.1002/1520-6750(199410)41:6<707::AID-NAV3220410603>3.0.CO;2-R

DO - 10.1002/1520-6750(199410)41:6<707::AID-NAV3220410603>3.0.CO;2-R

M3 - Article

VL - 41

SP - 707

EP - 718

JO - Naval Research Logistics

JF - Naval Research Logistics

SN - 0894-069X

IS - 6

ER -