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 2021-10-01 to 2025-10-01.)

Article	Citations
Exploratory image data analysis for quality improvement hypothesis generation	112
Statistical process monitoring for vector autoregressive time series based on location-scale CUSUM method	31
Letter to the quality engineering editor	24
Modeling the output from a commercial chemical process using regression models from survival analysis	22
Evaluation of manufacturing process in low variety high volume industry with the coupling of cloud model theory and TOPSIS approach	21
Tukey-EWMA control chart with variable sampling intervals for process monitoring	18
Critical success factors for implementing Industry 4.0 in Aerospace and Defense: A systematic literature review	18
Alternative parameter learning schemes for monitoring process stability	17
Acceptance sampling with multiple inspectors: Critical aspects in aggregating individual assessments	17
Corporation-wide variation reduction	16
Data quality and statistics: Perfect together?	15
Effects of measurement errors on semicircle control chart	13
Using a baseline with the probability of agreement to compare distribution characteristics	13
Concerns about designing C _pk sampling plans with an approximate cumulative distribution function	12
Appropriate care in a hospital: A case study in a breast center	11
A primer on predictive maintenance: Potential benefits and practical challenges	11
Foundations of network monitoring: Definitions and applications	11
Multi-branch convolutional attention network for multi-sensor feature fusion in intelligent fault diagnosis of rotating machinery	11
Shared frailty models for multiple repairable systems under imperfect repair	10
Reliability analysis for systems subject to dependent and competing failure processes with random failure thresholds	10
A note on compositional data gauge R&R studies	10
Lean, data, and statistics	10
Grey Duane model for reliability growth prediction under small sample uncertain failure data	10
Befitting bootstrap analysis: A case study	9
Reliability modeling for multi-component system subject to dependent competing failure processes with phase-type distribution considering multiple shock sources	9

An integrated failure-censored sampling scheme for lifetime-performance verification and validation under a Weibull distribution	9
Optimal test design for reliability demonstration under multi-stage acceptance uncertainties	8
Accelerated failure time analysis for industrial life modeling in presence of unknown dependent and independent censoring	8
The decay of Six Sigma and the rise of Quality 4.0 in manufacturing innovation	8
Sequential learning in practice: A case study in drug product development	8
Approximate dynamic programming methods in Bayesian preference elicitation	7
Semi-supervised learning for predictive modeling in industrial applications	7
The interdisciplinary nature of network monitoring: Advantages and disadvantages	7
System reliability optimization with two-sided power distributed component failure times	7
Generating exact optimal designs via particle swarm optimization: Assessing efficacy and efficiency via case study	6
Control chart pattern recognition for small samples based on Siamese Neural Network	6
The North America competitive product laundry initiative – a case study on thorough understanding and quantitation of laundry product performance through Statistical Engineering	6
Cause-and-effect diagram-based supersaturated designs	6
Remaining useful life prediction using the similarity-based integrations of multi-sensors data	6
Deep learning-based residual control chart for count data	6
Self-organized criticality in manufacturing system unscheduled downtime series and its application to major failure prediction	6
On reliability analysis of one-shot devices with manufacturing defects	6
Evidential FMEA method for human reliability assessment	6
A CUSUM control chart for the Gamma distribution with cautious parameter learning	6
Active learning for industrial applications	6
A Conversation with Christine M. Anderson-Cook	5
A statistical approach to quality evaluation of AI mislabel detection algorithm	5
Introduction to special edition of Quality Engineering	5
A Bayesian nonparametric system reliability model which integrates multiple sources of lifetime information	5
Product quality prediction based on process data: Taking the gearbox of Company D as an example	5
Design of Multiple Deferred State Repetitive Group Sampling Plans for Life Tests based on Generalized Gamma Distribution	5
CUSUM design for detection of event-rate increases for a Poisson process	5
Discussion of a nice paper with a long title	5
Statistical engineering: Synergies with established engineering disciplines	5
First to signal criterion for comparing control chart performance	5
Rejoinder	4
A neural network-based control chart for monitoring and interpreting autocorrelated multivariate processes using layer-wise relevance propagation	4
A reliability approach for prediction and management of part obsolescence for improved system health	4
Tolerance interval for the exponential distribution with a specified ratio of the tail probabilities and generalizations	4
The case against generally weighted moving average (GWMA) control charts	4
Online monitoring of nonlinear profiles using a Gaussian process model with heteroscedasticity	4
Quality 4.0: Learning quality control, the evolution of SQC/SPC	4
Using statistical engineering in pharmaceutical and biotech problem solving a case study	4
Statistical engineering – Part 2: Future	4
An online approach for robust parameter design with incremental Gaussian process	4
Simultaneous tolerance intervals for response surface designs	4
Equivalences between multiple dependent state sampling, chain sampling, and control chart runs rules	4
Hidden dimensions of the data: PCA vs autoencoders	4