Quality Engineering

Papers
(The median citation count of Quality Engineering is 1. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Modeling the output from a commercial chemical process using regression models from survival analysis129
Letter to the quality engineering editor48
Evaluation of manufacturing process in low variety high volume industry with the coupling of cloud model theory and TOPSIS approach33
Statistical process monitoring for vector autoregressive time series based on location-scale CUSUM method27
Acceptance sampling with multiple inspectors: Critical aspects in aggregating individual assessments25
Alternative parameter learning schemes for monitoring process stability23
Enhancing Six Sigma with latent variable models: An industrial application of multivariate Six Sigma in the automotive sector21
Tukey-EWMA control chart with variable sampling intervals for process monitoring20
Exploratory image data analysis for quality improvement hypothesis generation18
Corporation-wide variation reduction17
Critical success factors for implementing Industry 4.0 in Aerospace and Defense: A systematic literature review17
Optimal plans for accelerated destructive degradation tests with stress interaction effects16
Data quality and statistics: Perfect together?15
Using a baseline with the probability of agreement to compare distribution characteristics14
Simultaneous detection of shifts in the marginal and dependence terms for multivariate quality control14
The statistical finite element method: A theoretical foundation for digital twins14
Effects of measurement errors on semicircle control chart13
Multi-branch convolutional attention network for multi-sensor feature fusion in intelligent fault diagnosis of rotating machinery13
Lean, data, and statistics12
Concerns about designing C pk sampling plans with an approximate cumulative 12
A note on compositional data gauge R&R studies11
Sequential learning in practice: A case study in drug product development11
Discussion of “Industrial process analytics: multiscale approaches for integrating process knowledge and data induction for improving industrial processes and products”10
A primer on predictive maintenance: Potential benefits and practical challenges10
Grey Duane model for reliability growth prediction under small sample uncertain failure data10
Reliability modeling for multi-component system subject to dependent competing failure processes with phase-type distribution considering multiple shock sources10
Shared frailty models for multiple repairable systems under imperfect repair9
Application of Bayesian control charts with dynamic adjustment for risk monitoring9
Appropriate care in a hospital: A case study in a breast center9
Befitting bootstrap analysis: A case study9
Accelerated failure time analysis for industrial life modeling in presence of unknown dependent and independent censoring9
Approximate dynamic programming methods in Bayesian preference elicitation8
The decay of Six Sigma and the rise of Quality 4.0 in manufacturing innovation8
Reliability analysis for systems subject to dependent and competing failure processes with random failure thresholds8
System reliability optimization with two-sided power distributed component failure times8
Semi-supervised learning for predictive modeling in industrial applications8
Optimal test design for reliability demonstration under multi-stage acceptance uncertainties8
A statistical engineering approach to problem-solving7
Remaining useful life prediction using the similarity-based integrations of multi-sensors data7
Deep learning-based residual control chart for count data7
Evidential FMEA method for human reliability assessment7
Generating exact optimal designs via particle swarm optimization: Assessing efficacy and efficiency via case study7
Control chart pattern recognition for small samples based on Siamese Neural Network7
A CUSUM control chart for the Gamma distribution with cautious parameter learning7
On reliability analysis of one-shot devices with manufacturing defects7
The North America competitive product laundry initiative – a case study on thorough understanding and quantitation of laundry product performance through Statistical Engineering6
Active learning for industrial applications6
A practical insight into multivariate process capability indices6
Cause-and-effect diagram-based supersaturated designs6
Self-organized criticality in manufacturing system unscheduled downtime series and its application to major failure prediction6
First to signal criterion for comparing control chart performance6
Design of Multiple Deferred State Repetitive Group Sampling Plans for Life Tests based on Generalized Gamma Distribution6
Statistical engineering: Synergies with established engineering disciplines6
A statistical approach to quality evaluation of AI mislabel detection algorithm6
Some useful tactics for statisticians solving complex problems6
An online approach for robust parameter design with incremental Gaussian process5
Rejoinder5
Introduction to special edition of Quality Engineering5
Statistical engineering – Part 2: Future5
A neural network-based control chart for monitoring and interpreting autocorrelated multivariate processes using layer-wise relevance propagation5
Discussion of a nice paper with a long title5
Product quality prediction based on process data: Taking the gearbox of Company D as an example5
A Conversation with Christine M. Anderson-Cook5
A systematic assessment of Large Language Models for constructing two-level fractional factorial designs5
A reliability approach for prediction and management of part obsolescence for improved system health5
A Bayesian nonparametric system reliability model which integrates multiple sources of lifetime information5
Modified Imperfect Repair Model (ARAM 1 ) and new PLP parameterization4
Equivalences between multiple dependent state sampling, chain sampling, and control chart runs rules4
Data-driven maintenance priority recommendations for civil aircraft engine fleets using reliability-based bivariate cluster analysis4
Using statistical engineering in pharmaceutical and biotech problem solving a case study4
Utilizing jackknife and bootstrap to understand tensile stress to failure of an epoxy resin4
Quality 4.0: Learning quality control, the evolution of SQC/SPC4
Question, plan, data, Analysis, and Conclusion (QPDAC): A tutorial4
Simultaneous tolerance intervals for response surface designs4
A conversation with Ron Snee4
Letter to the Editor4
Process Analytical Technology, continuous manufacturing, and the development of a surrogate model for dissolution: a pharmaceutical manufacturing statistical engineering case study4
Two-level D-optimal designs for run sizes that are one less than a multiple of four4
Hidden dimensions of the data: PCA vs autoencoders4
A hierarchical model-based method for wafer level virtual metrology under process information deficiency4
Simultaneous monitoring of the mean vector and covariance matrix of multivariate multiple linear profiles with a new adaptive Shewhart-type control chart4
Availability and cost models for sequentially inspected systems with dependent catastrophic and soft failures4
How generative AI models such as ChatGPT can be (mis)used in SPC practice, education, and research? An exploratory study3
Efficient ARL estimation for general control charts using censored run lengths3
Monitoring count data without a Phase I study: A Poisson case on industrial printers3
Case study: Using all the available data to assess a measurement system via a Bayesian analysis of unbalanced data3
Design of the EWMA charts for simultaneously monitoring mean and variance using the conditional false alarm rate3
A class of response surface split-plot designs3
Nonparametric control limits incorporating exceedance probability criterion for statistical process monitoring with commonly employed small to moderate sample sizes3
Confronting experimental error in industrial DOE: A fresh look3
Improvement projects with an environmental focus: A novel approach for prioritization3
On efficient change point detection using a step cumulative sum control chart3
DR-AIR: A data repository bridging the research gap in AI reliability3
Automated, rapid, and convergent hyperparameter optimizer (ARCH) for neural network classifiers3
A life extrapolation model using accelerated equivalent luminance and its application3
Deep reinforcement learning for maintenance optimization of multi-component production systems considering quality and production plan3
Response to the letter by Professors Woodall and Knoth3
Sequential Bayesian assurance tests for degradation data2
Modernizing full posterior inference for surrogate modeling of categorical-output simulation experiments2
Contextual anomaly detection for multivariate time series data2
Correction2
A control chart for monitoring images using jump location curves2
Particle swarm exchange algorithms with applications in generating optimal model-discrimination designs2
Semiparametric approach for dual-response robust design with complex two-factor interactions2
Control charting with interval-valued data2
Discussion on “statistical solutions for interdisciplinary problem-solving”2
A high dimensional functional time series approach to evolution outlier detection for grouped smart meters2
A conversation with William Q. Meeker2
Hybrid fault diagnostics and prognostics system development for motor bearings health monitoring2
Quality process reengineering in industry 4.0: A BPR perspective2
A reliability prediction method considering degradation self-acceleration effect in DC-link electrolytic capacitor2
Leveraging what you know: Versatile space-filling designs2
Correction1
A model for failure-time data with two dependent failure modes and prediction of future failures1
Reliability-based optimization of imperfect preventive maintenance with Bayesian estimation1
Gage R&R studies in measurement system analysis: A systematic literature review1
Testing the prediction profiler with disallowed combinations—A statistical engineering case study1
On nominal data gauge R & R studies1
The future of statistics in an AI era*1
Discussion of “Industrial process analytics: Multiscale approaches for integrating process knowledge and data induction for improving industrial processes and products”1
A case study: Eliminating nuisance within-part variation in assessing a measurement system1
A mixture model application in monitoring error message rates for a distributed industrial fleet1
Developing variables two-plan sampling scheme with consideration of process loss for lot sentencing1
Simultaneous classification and out-of-distribution detection for wafer bin maps1
Developing a cost-efficient dual sampling system for lot disposition by considering process yield and quality loss1
Early fault diagnosis based on reinforcement learning optimized-SVM model with vibration-monitored signals1
A critical assessment of neutrosophic statistical methods1
Step-stress tests for interval-censored data under gamma lifetime distribution1
Redefining software reliability modeling: embracing fault-dependency, imperfect removal, and maximum fault considerations1
Power guidelines for process monitoring1
Optimal split-plot order-of-addition designs1
Mutual combination of selected principles and technologies of Industry 4.0 and quality management methods - case study1
A new incapability index for simple linear profile with asymmetric tolerances1
Case study on applying sequential analyses in operational testing1
Optimal design of a two-point variables skip-lot sampling plan with Taguchi capability index1
Optimal diagnosis interval for online quality control methods1
Cautious parameter learning for a joint mean and variance monitoring CUSUM scheme with guaranteed in-control performance1
A conversation with Ronald J.M.M. Does1
Assessing counting systems using a gold standard or a true count1
MR-RF: A robust data mining method for multiresponse optimization using a random forest1
Real-time monitoring for Plateau lake expanding based on EWMA and UNet image segmentation1
Improving laser welding penetration depth process capability for automotive seat adjusters1
Mixed-type defect pattern recognition in noisy labeled wafer bin maps1
On the construction of saturated split-plot designs for quadratic response surface models1
Correction1
Statistical inference in Burr type XII lifetime model based on progressive randomly censored data1
A comparative study for parameter estimation of the Weibull distribution in a small sample size: An application to spring fatigue failure data1
A latent process approach to change-point detection of mixed-type observations1
A hybrid machine learning approach for predicting short production stoppages1
A study of attribute control charts for censored lifetime data1
Statistical engineering – Part 1: Past and present1
Optimal design of time-between-event control charts with parameter estimation1
Optimal designing of skip-lot sampling plan with a provision for reducing the normal inspection using the Taguchi process capability index1
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