OOIR: Observatory of International Research

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 2021-08-01 to 2025-08-01.)

Article	Citations
Exploratory image data analysis for quality improvement hypothesis generation	100
Statistical process monitoring for vector autoregressive time series based on location-scale CUSUM method	39
Letter to the quality engineering editor	31
Critical success factors for implementing Industry 4.0 in Aerospace and Defense: A systematic literature review	21
Modeling the output from a commercial chemical process using regression models from survival analysis	21
Tukey-EWMA control chart with variable sampling intervals for process monitoring	20
Acceptance sampling with multiple inspectors: Critical aspects in aggregating individual assessments	18
Alternative parameter learning schemes for monitoring process stability	16
Evaluation of manufacturing process in low variety high volume industry with the coupling of cloud model theory and TOPSIS approach	16
Corporation-wide variation reduction	16
Data quality and statistics: Perfect together?	15
Using a baseline with the probability of agreement to compare distribution characteristics	14
Effects of measurement errors on semicircle control chart	13
Multi-branch convolutional attention network for multi-sensor feature fusion in intelligent fault diagnosis of rotating machinery	11
Accelerated failure time analysis for industrial life modeling in presence of unknown dependent and independent censoring	10
A note on compositional data gauge R&R studies	10
Lean, data, and statistics	10
Reliability analysis for systems subject to dependent and competing failure processes with random failure thresholds	10
Three-level designs under second order models	10
A primer on predictive maintenance: Potential benefits and practical challenges	10
Reliability modeling for multi-component system subject to dependent competing failure processes with phase-type distribution considering multiple shock sources	9
Shared frailty models for multiple repairable systems under imperfect repair	9
Foundations of network monitoring: Definitions and applications	9
Grey Duane model for reliability growth prediction under small sample uncertain failure data	9
An integrated failure-censored sampling scheme for lifetime-performance verification and validation under a Weibull distribution	9

On gauge repeatability and reproducibility studies for counts	8
Approximate dynamic programming methods in Bayesian preference elicitation	8
Appropriate care in a hospital: A case study in a breast center	8
Semi-supervised learning for predictive modeling in industrial applications	8
Optimal test design for reliability demonstration under multi-stage acceptance uncertainties	7
The decay of Six Sigma and the rise of Quality 4.0 in manufacturing innovation	7
System reliability optimization with two-sided power distributed component failure times	7
The interdisciplinary nature of network monitoring: Advantages and disadvantages	7
Generating exact optimal designs via particle swarm optimization: Assessing efficacy and efficiency via case study	7
Active learning for industrial applications	6
Cause-and-effect diagram-based supersaturated designs	6
A CUSUM control chart for the Gamma distribution with cautious parameter learning	6
Remaining useful life prediction using the similarity-based integrations of multi-sensors data	6
Self-organized criticality in manufacturing system unscheduled downtime series and its application to major failure prediction	6
Deep learning-based residual control chart for count data	6
On reliability analysis of one-shot devices with manufacturing defects	6
The North America competitive product laundry initiative – a case study on thorough understanding and quantitation of laundry product performance through Statistical Engineering	6
Control chart pattern recognition for small samples based on Siamese Neural Network	6
Evidential FMEA method for human reliability assessment	6
First to signal criterion for comparing control chart performance	5
Product quality prediction based on process data: Taking the gearbox of Company D as an example	5
Discussion of a nice paper with a long title	5
Introduction to special edition of Quality Engineering	5
Design of Multiple Deferred State Repetitive Group Sampling Plans for Life Tests based on Generalized Gamma Distribution	5
A Conversation with Christine M. Anderson-Cook	5
Statistical engineering: Synergies with established engineering disciplines	5
CUSUM design for detection of event-rate increases for a Poisson process	5
An online approach for robust parameter design with incremental Gaussian process	5
A Bayesian nonparametric system reliability model which integrates multiple sources of lifetime information	5
Statistical engineering – Part 2: Future	4
A neural network-based control chart for monitoring and interpreting autocorrelated multivariate processes using layer-wise relevance propagation	4
Simultaneous tolerance intervals for response surface designs	4
Using statistical engineering in pharmaceutical and biotech problem solving a case study	4
Rejoinder	4
Online monitoring of nonlinear profiles using a Gaussian process model with heteroscedasticity	4
A reliability approach for prediction and management of part obsolescence for improved system health	4
Hidden dimensions of the data: PCA vs autoencoders	4
Equivalences between multiple dependent state sampling, chain sampling, and control chart runs rules	4
The case against generally weighted moving average (GWMA) control charts	4
Quality 4.0: Learning quality control, the evolution of SQC/SPC	4
Tolerance interval for the exponential distribution with a specified ratio of the tail probabilities and generalizations	4