skip to main content
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Choosing a reliability inspection plan for interval censored data

Abstract

Reliability test plans are important for producing precise and accurate assessment of reliability characteristics. This paper explores different strategies for choosing between possible inspection plans for interval censored data given a fixed testing timeframe and budget. A new general cost structure is proposed for guiding precise quantification of total cost in inspection test plan. Multiple summaries of reliability are considered and compared as the criteria for choosing the best plans using an easily adapted method. Different cost structures and representative true underlying reliability curves demonstrate how to assess different strategies given the logistical constraints and nature of the problem. Results show several general patterns exist across a wide variety of scenarios. Given the fixed total cost, plans that inspect more units with less frequency based on equally spaced time points are favored due to the ease of implementation and consistent good performance across a large number of case study scenarios. Plans with inspection times chosen based on equally spaced probabilities offer improved reliability estimates for the shape of the distribution, mean lifetime, and failure time for a small fraction of population only for applications with high infant mortality rates. The paper uses a Monte Carlo simulation based approach in additionmore » to the common evaluation based on the asymptotic variance and offers comparison and recommendation for different applications with different objectives. Additionally, the paper outlines a variety of different reliability metrics to use as criteria for optimization, presents a general method for evaluating different alternatives, as well as provides case study results for different common scenarios.« less

Authors:
 [1]; ORCiD logo [2]
  1. Univ. of South Florida, Tampa, FL (United States)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOD; USDOE
OSTI Identifier:
1353021
Report Number(s):
LA-UR-16-28975
Journal ID: ISSN 0898-2112
Grant/Contract Number:  
AC52-06NA25396
Resource Type:
Accepted Manuscript
Journal Name:
Quality Engineering
Additional Journal Information:
Journal Volume: 29; Journal Issue: 3; Journal ID: ISSN 0898-2112
Publisher:
American Society for Quality Control
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; Mathematics

Citation Formats

Lu, Lu, and Anderson-Cook, Christine Michaela. Choosing a reliability inspection plan for interval censored data. United States: N. p., 2017. Web. doi:10.1080/08982112.2017.1321118.
Lu, Lu, & Anderson-Cook, Christine Michaela. Choosing a reliability inspection plan for interval censored data. United States. doi:10.1080/08982112.2017.1321118.
Lu, Lu, and Anderson-Cook, Christine Michaela. Wed . "Choosing a reliability inspection plan for interval censored data". United States. doi:10.1080/08982112.2017.1321118. https://www.osti.gov/servlets/purl/1353021.
@article{osti_1353021,
title = {Choosing a reliability inspection plan for interval censored data},
author = {Lu, Lu and Anderson-Cook, Christine Michaela},
abstractNote = {Reliability test plans are important for producing precise and accurate assessment of reliability characteristics. This paper explores different strategies for choosing between possible inspection plans for interval censored data given a fixed testing timeframe and budget. A new general cost structure is proposed for guiding precise quantification of total cost in inspection test plan. Multiple summaries of reliability are considered and compared as the criteria for choosing the best plans using an easily adapted method. Different cost structures and representative true underlying reliability curves demonstrate how to assess different strategies given the logistical constraints and nature of the problem. Results show several general patterns exist across a wide variety of scenarios. Given the fixed total cost, plans that inspect more units with less frequency based on equally spaced time points are favored due to the ease of implementation and consistent good performance across a large number of case study scenarios. Plans with inspection times chosen based on equally spaced probabilities offer improved reliability estimates for the shape of the distribution, mean lifetime, and failure time for a small fraction of population only for applications with high infant mortality rates. The paper uses a Monte Carlo simulation based approach in addition to the common evaluation based on the asymptotic variance and offers comparison and recommendation for different applications with different objectives. Additionally, the paper outlines a variety of different reliability metrics to use as criteria for optimization, presents a general method for evaluating different alternatives, as well as provides case study results for different common scenarios.},
doi = {10.1080/08982112.2017.1321118},
journal = {Quality Engineering},
number = 3,
volume = 29,
place = {United States},
year = {2017},
month = {4}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Save / Share:

Works referenced in this record:

Inspection Efficiency and Sampling Inspection Plans
journal, December 1946


Planning Life Tests in Which Units Are Inspected for Failure
journal, January 1986


Comparisons of Exponential Life Test Plans with Intermittent Inspections
journal, July 2000


Selecting Failure Monitoring Times for an Exponential Life Distribution
journal, October 1996


    Works referencing / citing this record:

    Choosing a reliability inspection plan for interval censored data
    dataset, June 2017


    Choosing a Reliability Inspection Plan for Interval Censored Data
    dataset, April 2017