Quality Engineering

Papers
(The TQCC of Quality Engineering is 4. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)
ArticleCitations
Modeling the output from a commercial chemical process using regression models from survival analysis114
Letter to the quality engineering editor34
Exploratory image data analysis for quality improvement hypothesis generation26
Alternative parameter learning schemes for monitoring process stability22
Acceptance sampling with multiple inspectors: Critical aspects in aggregating individual assessments21
Evaluation of manufacturing process in low variety high volume industry with the coupling of cloud model theory and TOPSIS approach19
Statistical process monitoring for vector autoregressive time series based on location-scale CUSUM method18
Tukey-EWMA control chart with variable sampling intervals for process monitoring18
Critical success factors for implementing Industry 4.0 in Aerospace and Defense: A systematic literature review18
Corporation-wide variation reduction16
Concerns about designing C pk sampling plans with an approximate cumulative distribution function15
Data quality and statistics: Perfect together?15
Using a baseline with the probability of agreement to compare distribution characteristics14
Multi-branch convolutional attention network for multi-sensor feature fusion in intelligent fault diagnosis of rotating machinery12
Lean, data, and statistics11
Appropriate care in a hospital: A case study in a breast center11
Reliability modeling for multi-component system subject to dependent competing failure processes with phase-type distribution considering multiple shock sources11
Effects of measurement errors on semicircle control chart11
Sequential learning in practice: A case study in drug product development11
Grey Duane model for reliability growth prediction under small sample uncertain failure data10
Befitting bootstrap analysis: A case study10
Shared frailty models for multiple repairable systems under imperfect repair10
A primer on predictive maintenance: Potential benefits and practical challenges10
A note on compositional data gauge R&R studies10
Accelerated failure time analysis for industrial life modeling in presence of unknown dependent and independent censoring10
Reliability analysis for systems subject to dependent and competing failure processes with random failure thresholds9
Semi-supervised learning for predictive modeling in industrial applications9
An integrated failure-censored sampling scheme for lifetime-performance verification and validation under a Weibull distribution9
Approximate dynamic programming methods in Bayesian preference elicitation9
The decay of Six Sigma and the rise of Quality 4.0 in manufacturing innovation8
System reliability optimization with two-sided power distributed component failure times7
Optimal test design for reliability demonstration under multi-stage acceptance uncertainties7
A CUSUM control chart for the Gamma distribution with cautious parameter learning7
Generating exact optimal designs via particle swarm optimization: Assessing efficacy and efficiency via case study7
Remaining useful life prediction using the similarity-based integrations of multi-sensors data7
Evidential FMEA method for human reliability assessment7
Design of Multiple Deferred State Repetitive Group Sampling Plans for Life Tests based on Generalized Gamma Distribution6
Self-organized criticality in manufacturing system unscheduled downtime series and its application to major failure prediction6
Control chart pattern recognition for small samples based on Siamese Neural Network6
Statistical engineering: Synergies with established engineering disciplines6
The North America competitive product laundry initiative – a case study on thorough understanding and quantitation of laundry product performance through Statistical Engineering6
On reliability analysis of one-shot devices with manufacturing defects6
Cause-and-effect diagram-based supersaturated designs6
Deep learning-based residual control chart for count data6
Active learning for industrial applications5
Introduction to special edition of Quality Engineering5
A Conversation with Christine M. Anderson-Cook5
A statistical approach to quality evaluation of AI mislabel detection algorithm5
CUSUM design for detection of event-rate increases for a Poisson process5
Statistical engineering – Part 2: Future5
A neural network-based control chart for monitoring and interpreting autocorrelated multivariate processes using layer-wise relevance propagation5
First to signal criterion for comparing control chart performance5
Product quality prediction based on process data: Taking the gearbox of Company D as an example5
Discussion of a nice paper with a long title5
A Bayesian nonparametric system reliability model which integrates multiple sources of lifetime information5
Equivalences between multiple dependent state sampling, chain sampling, and control chart runs rules4
Using statistical engineering in pharmaceutical and biotech problem solving a case study4
Process Analytical Technology, continuous manufacturing, and the development of a surrogate model for dissolution: a pharmaceutical manufacturing statistical engineering case study4
Hidden dimensions of the data: PCA vs autoencoders4
Rejoinder4
Online monitoring of nonlinear profiles using a Gaussian process model with heteroscedasticity4
Simultaneous tolerance intervals for response surface designs4
Tolerance interval for the exponential distribution with a specified ratio of the tail probabilities and generalizations4
Modified Imperfect Repair Model (ARAM 1 ) and new PLP parameterization4
The case against generally weighted moving average (GWMA) control charts4
A reliability approach for prediction and management of part obsolescence for improved system health4
Quality 4.0: Learning quality control, the evolution of SQC/SPC4
Simultaneous monitoring of the mean vector and covariance matrix of multivariate multiple linear profiles with a new adaptive Shewhart-type control chart4
A conversation with Ron Snee4
An online approach for robust parameter design with incremental Gaussian process4
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