Access the full text.
Sign up today, get DeepDyve free for 14 days.
Chin-Chun Wu, C. Chou, Chikong Huang (2007)
Optimal burn-in time and warranty length under fully renewing combination free replacement and pro-rata warrantyReliab. Eng. Syst. Saf., 92
Xiaolin Wang, Wei Xie (2017)
Two-dimensional warranty: A literature reviewProceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 232
Z. Ye, M. Xie, L. Tang, Yan Shen (2012)
Degradation-Based Burn-In Planning Under Competing RisksTechnometrics, 54
W. Kuo, Y. Kuo (1983)
Facing the headaches of early failures: A state-of-the-art review of burn-in decisions, 71
DNP Murthy, WR Blischke (2006)
Warranty Management and Product Manufacture
Selda Ulusoy, T. Mazzuchi, D. Perlstein (2011)
Bayesian calculation of optimal burn‐in time using the joint criteria of cost and delivered reliabilityQuality and Reliability Engineering International, 27
(2008)
Stochastic OrdersTechnometrics, 50
R. Barlow (1985)
A Bayes Explanation of an Apparent Failure Rate ParadoxIEEE Transactions on Reliability, R-34
J. Mi (1997)
Warranty policies and burn-inNaval Research Logistics, 44
E Cinlar (1975)
Introduction to Stochastic Processes
HW Block, TH Savits (1997)
Burn‐in, 12
J. Cha, M. Finkelstein (2011)
Burn-in and the performance quality measures in heterogeneous populationsEur. J. Oper. Res., 210
W. Blischke, D. Murthy (1992)
Product warranty management -- I: A taxonomy for warranty policiesEuropean Journal of Operational Research, 62
Xiaopeng Li, Zixian Liu, Yukun Wang, Mei Li (2018)
Optimal burn-in strategy for two-dimensional warranted products considering preventive maintenanceInternational Journal of Production Research, 57
Z. Ye, D. Murthy, M. Xie, L. Tang (2013)
Optimal burn-in for repairable products sold with a two-dimensional warrantyIIE Transactions, 45
Z. Ye, L. Tang, M. Xie (2011)
A Burn-In Scheme Based on Percentiles of the Residual LifeJournal of Quality Technology, 43
Mahmood Shafiee, Maxim Finkelstein, S. Chukova (2011)
Burn-in and imperfect preventive maintenance strategies for warranted productsProceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 225
M Finkelstein, JH Cha (2013)
Stochastic Modeling for Reliability: Shocks, Burn‐in and Heterogeneous Populations
S. Sheu, Y. Chien (2005)
Optimal burn-in time to minimize the cost for general repairable products sold under warrantyEur. J. Oper. Res., 163
P. Boland, E. El-Neweihi (1998)
Statistical and information based (physical) minimal repair for k out of n SystemsJournal of Applied Probability, 35
Z. Asfaw, B. Lindqvist (2015)
Unobserved heterogeneity in the power law nonhomogeneous Poisson processReliab. Eng. Syst. Saf., 134
J. Cha, M. Finkelstein (2016)
On Ageing Concepts for Repairable Items From Heterogeneous PopulationsIEEE Transactions on Reliability, 65
D.N.P Murthy, I. Djamaludin (2002)
New product warranty: A literature reviewInternational Journal of Production Economics, 79
M. Finkelstein, J. Cha (2013)
Stochastic Modeling for Reliability
Maxim Finkelstein (2009)
Understanding the Shape of the Mixture Failure Rate ( with Engineering and Demographic Applications )
K. Kapur, M. Pecht (2014)
Reliability Engineering
J. Cha, M. Finkelstein (2011)
Stochastic intensity for minimal repairs in heterogeneous populationsJournal of Applied Probability, 48
H. Block, T. Savits, N. Lynn, N. Singpurwalla (1997)
Burn-In"Burn-In" makes us feel goodStatistical Science, 12
In actual production, the heterogeneity of products is ubiquitous. This article considers a new burn‐in model for repairable products sold with a two‐dimensional combination warranty . It is assumed that the products are heterogeneous and that all failures during the warranty period are repaired by the minimal repair at subpopulations level. Performance‐based and cost‐based models are developed to obtain optimal burn‐in policies under the non‐renewing two‐dimensional combination warranty policy, respectively. First, under mild conditions, we show that the optimal burn‐in time and the optimal usage rate should be as high as possible, provided that the burn‐in time and the burn‐in usage rate have the upper bounds. Second, we analyze the influence of incorrect use of the failure rate function instead of the intensity function on performance‐based and cost‐based models. Finally, we compare the optimal burn‐in policies of the two models. One illustrative example and relevant sensitivity analysis are also presented.
Applied Stochastic Models in Business and Industry – Wiley
Published: Jul 1, 2022
Keywords: burn‐in; minimal repair; reliability; two‐dimensional combination warranty
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.