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 2021-09-01 to 2025-09-01.)

Article	Citations
Exploratory image data analysis for quality improvement hypothesis generation	105
Statistical process monitoring for vector autoregressive time series based on location-scale CUSUM method	39
Letter to the quality engineering editor	32
Modeling the output from a commercial chemical process using regression models from survival analysis	22
Tukey-EWMA control chart with variable sampling intervals for process monitoring	21
Acceptance sampling with multiple inspectors: Critical aspects in aggregating individual assessments	20
Evaluation of manufacturing process in low variety high volume industry with the coupling of cloud model theory and TOPSIS approach	18
Alternative parameter learning schemes for monitoring process stability	17
Critical success factors for implementing Industry 4.0 in Aerospace and Defense: A systematic literature review	17
Corporation-wide variation reduction	16
Data quality and statistics: Perfect together?	15
Multi-branch convolutional attention network for multi-sensor feature fusion in intelligent fault diagnosis of rotating machinery	14
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	11
Effects of measurement errors on semicircle control chart	11
Lean, data, and statistics	10
Accelerated failure time analysis for industrial life modeling in presence of unknown dependent and independent censoring	10
Three-level designs under second order models	10
A note on compositional data gauge R&R studies	10
Grey Duane model for reliability growth prediction under small sample uncertain failure data	10
A primer on predictive maintenance: Potential benefits and practical challenges	10
Reliability analysis for systems subject to dependent and competing failure processes with random failure thresholds	10
Reliability modeling for multi-component system subject to dependent competing failure processes with phase-type distribution considering multiple shock sources	9
Appropriate care in a hospital: A case study in a breast center	9
An integrated failure-censored sampling scheme for lifetime-performance verification and validation under a Weibull distribution	9

Foundations of network monitoring: Definitions and applications	9
Shared frailty models for multiple repairable systems under imperfect repair	9
The interdisciplinary nature of network monitoring: Advantages and disadvantages	8
System reliability optimization with two-sided power distributed component failure times	8
The decay of Six Sigma and the rise of Quality 4.0 in manufacturing innovation	7
Optimal test design for reliability demonstration under multi-stage acceptance uncertainties	7
Approximate dynamic programming methods in Bayesian preference elicitation	7
Semi-supervised learning for predictive modeling in industrial applications	7
On reliability analysis of one-shot devices with manufacturing defects	7
The North America competitive product laundry initiative – a case study on thorough understanding and quantitation of laundry product performance through Statistical Engineering	6
Evidential FMEA method for human reliability assessment	6
Deep learning-based residual control chart for count data	6
Cause-and-effect diagram-based supersaturated designs	6
Remaining useful life prediction using the similarity-based integrations of multi-sensors data	6
Control chart pattern recognition for small samples based on Siamese Neural Network	6
Self-organized criticality in manufacturing system unscheduled downtime series and its application to major failure prediction	6
A CUSUM control chart for the Gamma distribution with cautious parameter learning	6
Generating exact optimal designs via particle swarm optimization: Assessing efficacy and efficiency via case study	6
CUSUM design for detection of event-rate increases for a Poisson process	5
Statistical engineering – Part 2: Future	5
The case against generally weighted moving average (GWMA) control charts	5
Design of Multiple Deferred State Repetitive Group Sampling Plans for Life Tests based on Generalized Gamma Distribution	5
Product quality prediction based on process data: Taking the gearbox of Company D as an example	5
Rejoinder	5
A Bayesian nonparametric system reliability model which integrates multiple sources of lifetime information	5
Active learning for industrial applications	5
Introduction to special edition of Quality Engineering	5
Statistical engineering: Synergies with established engineering disciplines	5
A neural network-based control chart for monitoring and interpreting autocorrelated multivariate processes using layer-wise relevance propagation	5
First to signal criterion for comparing control chart performance	5
Discussion of a nice paper with a long title	4
Simultaneous tolerance intervals for response surface designs	4
Quality 4.0: Learning quality control, the evolution of SQC/SPC	4
Process Analytical Technology, continuous manufacturing, and the development of a surrogate model for dissolution: a pharmaceutical manufacturing statistical engineering case study	4
Hidden dimensions of the data: PCA vs autoencoders	4
An online approach for robust parameter design with incremental Gaussian process	4
Online monitoring of nonlinear profiles using a Gaussian process model with heteroscedasticity	4
Tolerance interval for the exponential distribution with a specified ratio of the tail probabilities and generalizations	4
Modified Imperfect Repair Model (ARAM ₁ ) and new PLP parameterization	4
A Conversation with Christine M. Anderson-Cook	4
Equivalences between multiple dependent state sampling, chain sampling, and control chart runs rules	4
A reliability approach for prediction and management of part obsolescence for improved system health	4
Using statistical engineering in pharmaceutical and biotech problem solving a case study	4
Two-level D-optimal designs for run sizes that are one less than a multiple of four	4