Recent advances and future directions for quality engineering

G Vining, M Kulahci, S Pedersen - Quality and Reliability …, 2016 - Wiley Online Library
The origins of quality engineering are in manufacturing, where quality engineers apply basic
statistical methodologies to improve the quality and productivity of products and processes …

Data analysis of progressive‐stress accelerated life tests with group effects

L Zhuang, A Xu, B Wang, Y Xue… - Quality Technology & …, 2023 - Taylor & Francis
Progressive-stress accelerated life testing (PSALT) is a special type of experiment that tests
the lifetime of a product with continuously varying stress levels. Due to the limitations of …

Product reliability analysis based on heavily censored interval data with batch effects

L Zhuang, A Xu, J Pang - Reliability Engineering & System Safety, 2021 - Elsevier
In many industries including engineering, biology, and medical science, etc, interval failure
data commonly exist. Utilizing the data to estimate product lifetime is often confounded with …

A robust interactive desirability function approach for multiple response optimization considering model uncertainty

Y He, Z He, KJ Kim, IJ Jeong… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
To solve multiple response optimization problems that often involve incommensurate and
conflicting responses, a robust interactive desirability function approach is proposed in this …

Bayesian analysis of designed reliability improvement experiments with application to adaptive termination

G Wang, M Shao, J Li, S Lv, X Kong… - Quality and Reliability …, 2024 - Wiley Online Library
In reliability improvement experiments, engineers are very interested in which factors affect
the reliability of products. Furthermore, they hope to terminate experiment early without …

Reliability modeling of accelerated life tests with both random effects and nonconstant shape parameters

S Lv, Z Niu, L Qu, S He, Z He - Quality Engineering, 2015 - Taylor & Francis
In accelerated life tests (ALTs), test units may come from different groups (subsampling,
blocking, and clustering) and the group effect is random and significant. The ALTs, in this …

An overview of designing experiments for reliability data

GG Vining, LJ Freeman, JLK Kensler - Frontiers in Statistical Quality …, 2015 - Springer
The reliability of products and processes will become increasing important in the near future.
One definition of reliability is “quality over time.” Customers increasing will make their …

Challenges and new methods for designing reliability experiments

LJ Freeman, RM Medlin, TH Johnson - Quality Engineering, 2019 - Taylor & Francis
Engineers use reliability experiments to determine the factors that drive product reliability,
build robust products, and predict reliability under use conditions. This article uses recent …

Analysis of reliability experiments with random blocks and subsampling

JLK Kensler, LJ Freeman, GG Vining - Journal of Quality …, 2015 - Taylor & Francis
Reliability experiments provide important information regarding the life of an item, including
how various factors affect item life. Current analyses of reliability data usually assume a …

Reliability improvement through designed experiments with random effects

S Lv, Z Niu, Q Cui, Z He, G Wang - Computers & Industrial Engineering, 2017 - Elsevier
Abstract Design of experiment (DOE) is a useful tool to identify significant factors and choose
factor levels for product reliability improvement. In practice, practitioners often ignore random …