Prioritization of Stockpile Maintenance with Layered Pareto Fronts

Burke, Sarah E.; Anderson-Cook, Christine M.; Lu, Lu; Montgomery, Douglas C.

doi:10.1080/08982112.2017.1390585

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:

Burke, Sarah E. ^[1]; Anderson-Cook, Christine M. ^[2]; Lu, Lu ^[3]; Montgomery, Douglas C. ^[4]

The Perduco Group, Beavercreek, OH (United States)
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Univ. of South Florida, Tampa, FL (United States)
Arizona State Univ., Tempe, AZ (United States)

Publication Date:: Wed Oct 11 00:00:00 EDT 2017

Research Org.:: Los Alamos National Laboratory (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.

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                    Burke, Sarah E., Anderson-Cook, Christine M., Lu, Lu, & Montgomery, Douglas C. Prioritization of Stockpile Maintenance with Layered Pareto Fronts.  United States.  https://doi.org/10.1080/08982112.2017.1390585

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                    Burke, Sarah E., Anderson-Cook, Christine M., Lu, Lu, and Montgomery, Douglas C. Wed .  
"Prioritization of Stockpile Maintenance with Layered Pareto Fronts".  United States.  https://doi.org/10.1080/08982112.2017.1390585.  https://www.osti.gov/servlets/purl/1402620.

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@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         = {Wed Oct 11 00:00:00 EDT 2017},

  month        = {Wed Oct 11 00:00:00 EDT 2017}

}

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https://doi.org/10.1080/08982112.2017.1390585

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Works referenced in this record:

Statistical Engineering—Forming the Foundations
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Anderson-Cook, Christine M.; Lu, Lu; Clark, Gordon
Quality Engineering, Vol. 24, Issue 2
DOI: 10.1080/08982112.2012.641150

Statistical Engineering—Roles for Statisticians and the Path Forward
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Anderson-Cook, Christine M.; Lu, Lu; Clark, Gordon
Quality Engineering, Vol. 24, Issue 2
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Lu, Lu; Anderson-Cook, Christine M.; Lin, Dennis K. J.
Computational Statistics & Data Analysis, Vol. 71
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Optimization of Designed Experiments Based on Multiple Criteria Utilizing a Pareto Frontier
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Lu, Lu; Anderson-Cook, Christine M.; Robinson, Timothy J.
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Simultaneous Optimization of Several Response Variables
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Derringer, George; Suich, Ronald
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System Health Assessment
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Collins, David H.; Anderson-Cook, Christine M.; Huzurbazar, Aparna V.
Quality Engineering, Vol. 23, Issue 2
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Using age and usage for prediction of reliability of an arbitrary system from a finite population
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Lu, Lu; Anderson-Cook, Christine M.
Quality and Reliability Engineering International, Vol. 27, Issue 2
DOI: 10.1002/qre.1109

Rethinking the Optimal Response Surface Design for a First-Order Model with Two-Factor Interactions, When Protecting against Curvature
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Lu, Lu; Anderson-Cook, Christine M.
Quality Engineering, Vol. 24, Issue 3
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Prediction of Reliability of an Arbitrary System from a Finite Population
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Lu, Lu; Anderson-Cook, Christine M.
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Statistical Thinking
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Lake, Peter; Drake, Robert
Information Systems Management in the Big Data Era
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