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Title: Prioritization of Stockpile Maintenance with Layered Pareto Fronts

Abstract

Difficult choices are required for a decision-making process where resources and budgets are increasingly constrained. This study demonstrates a structured decision-making approach using layered Pareto fronts to identify priorities about how to allocate funds between munitions stockpiles based on their estimated reliability, the urgency of needing available units, and the consequences if adequate numbers of units are not available. This case study, while specific to the characteristics of a group of munitions stockpiles, illustrates the general process of structured decision-making based on first identifying appropriate metrics that summarize the important dimensions of the decision, and then objectively eliminating non-contenders from further consideration. Finally, the final subjective stage incorporates user priorities to select the four stockpiles to receive additional maintenance and surveillance funds based on understanding the trade-offs and robustness to various user priorities.

Authors:
 [1];  [2];  [3];  [4]
  1. The Perduco Group, Beavercreek, OH (United States)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  3. Univ. of South Florida, Tampa, FL (United States)
  4. Arizona State Univ., Tempe, AZ (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE; USDOD
OSTI Identifier:
1402620
Report Number(s):
LA-UR-16-28997
Journal ID: ISSN 0898-2112
Grant/Contract Number:  
AC52-06NA25396
Resource Type:
Accepted Manuscript
Journal Name:
Quality Engineering
Additional Journal Information:
Journal Volume: 30; Journal Issue: 4; Journal ID: ISSN 0898-2112
Publisher:
American Society for Quality Control
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; Pareto front; DMRCS; reliability; decision-making; statistical engineering; multiple criteria

Citation Formats

Burke, Sarah E., Anderson-Cook, Christine M., Lu, Lu, and Montgomery, Douglas C. Prioritization of Stockpile Maintenance with Layered Pareto Fronts. United States: N. p., 2017. Web. doi:10.1080/08982112.2017.1390585.
Burke, Sarah E., Anderson-Cook, Christine M., Lu, Lu, & Montgomery, Douglas C. Prioritization of Stockpile Maintenance with Layered Pareto Fronts. United States. doi:10.1080/08982112.2017.1390585.
Burke, Sarah E., Anderson-Cook, Christine M., Lu, Lu, and Montgomery, Douglas C. Wed . "Prioritization of Stockpile Maintenance with Layered Pareto Fronts". United States. doi:10.1080/08982112.2017.1390585. https://www.osti.gov/servlets/purl/1402620.
@article{osti_1402620,
title = {Prioritization of Stockpile Maintenance with Layered Pareto Fronts},
author = {Burke, Sarah E. and Anderson-Cook, Christine M. and Lu, Lu and Montgomery, Douglas C.},
abstractNote = {Difficult choices are required for a decision-making process where resources and budgets are increasingly constrained. This study demonstrates a structured decision-making approach using layered Pareto fronts to identify priorities about how to allocate funds between munitions stockpiles based on their estimated reliability, the urgency of needing available units, and the consequences if adequate numbers of units are not available. This case study, while specific to the characteristics of a group of munitions stockpiles, illustrates the general process of structured decision-making based on first identifying appropriate metrics that summarize the important dimensions of the decision, and then objectively eliminating non-contenders from further consideration. Finally, the final subjective stage incorporates user priorities to select the four stockpiles to receive additional maintenance and surveillance funds based on understanding the trade-offs and robustness to various user priorities.},
doi = {10.1080/08982112.2017.1390585},
journal = {Quality Engineering},
number = 4,
volume = 30,
place = {United States},
year = {2017},
month = {10}
}

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Works referenced in this record:

Statistical Engineering—Forming the Foundations
journal, April 2012


Statistical Engineering—Roles for Statisticians and the Path Forward
journal, April 2012


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    Works referencing / citing this record:

    Using age and usage for prediction of reliability of an arbitrary system from a finite population
    journal, February 2011

    • Lu, Lu; Anderson-Cook, Christine M.
    • Quality and Reliability Engineering International, Vol. 27, Issue 2
    • DOI: 10.1002/qre.1109

    Optimal designed experiments using a Pareto front search for focused preference of multiple objectives
    journal, March 2014

    • Lu, Lu; Anderson-Cook, Christine M.; Lin, Dennis K. J.
    • Computational Statistics & Data Analysis, Vol. 71
    • DOI: 10.1016/j.csda.2013.04.008

    Simultaneous Optimization of Several Response Variables
    journal, October 1980


    System Health Assessment
    journal, March 2011

    • Collins, David H.; Anderson-Cook, Christine M.; Huzurbazar, Aparna V.
    • Quality Engineering, Vol. 23, Issue 2
    • DOI: 10.1080/08982112.2010.529484

    Statistical Engineering—Forming the Foundations
    journal, April 2012


    Statistical Engineering—Roles for Statisticians and the Path Forward
    journal, April 2012