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 2021-06-01 to 2025-06-01.)

Article	Citations
Modeling the output from a commercial chemical process using regression models from survival analysis	94
Exploratory image data analysis for quality improvement hypothesis generation	37
Statistical process monitoring for vector autoregressive time series based on location-scale CUSUM method	24
Letter to the quality engineering editor	23
A method for robust design of products or processes with categorical response	20
Acceptance sampling with multiple inspectors: Critical aspects in aggregating individual assessments	19
Critical success factors for implementing Industry 4.0 in Aerospace and Defense: A systematic literature review	19
Tukey-EWMA control chart with variable sampling intervals for process monitoring	18
Evaluation of manufacturing process in low variety high volume industry with the coupling of cloud model theory and TOPSIS approach	17
Alternative parameter learning schemes for monitoring process stability	15
Data quality and statistics: Perfect together?	15
Corporation-wide variation reduction	15
Multi-branch convolutional attention network for multi-sensor feature fusion in intelligent fault diagnosis of rotating machinery	14
Effects of measurement errors on semicircle control chart	12
Using a baseline with the probability of agreement to compare distribution characteristics	12
Lean, data, and statistics	11
Reliability analysis for systems subject to dependent and competing failure processes with random failure thresholds	10
Three-level designs under second order models	10
Reliability analysis of heat exchanging system of deep-sea manned submersibles using Markov model	10
Reliability modeling for multi-component system subject to dependent competing failure processes with phase-type distribution considering multiple shock sources	9
A note on compositional data gauge R&R studies	9
Accelerated failure time analysis for industrial life modeling in presence of unknown dependent and independent censoring	9
Grey Duane model for reliability growth prediction under small sample uncertain failure data	8
An integrated failure-censored sampling scheme for lifetime-performance verification and validation under a Weibull distribution	8
Foundations of network monitoring: Definitions and applications	8

A primer on predictive maintenance: Potential benefits and practical challenges	8
Approximate dynamic programming methods in Bayesian preference elicitation	7
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
System reliability optimization with two-sided power distributed component failure times	7
Semi-supervised learning for predictive modeling in industrial applications	7
On gauge repeatability and reproducibility studies for counts	7
Deep learning-based residual control chart for count data	6
Remaining useful life prediction using the similarity-based integrations of multi-sensors data	6
Cause-and-effect diagram-based supersaturated designs	6
Evidential FMEA method for human reliability assessment	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
The North America competitive product laundry initiative – a case study on thorough understanding and quantitation of laundry product performance through Statistical Engineering	6
The interdisciplinary nature of network monitoring: Advantages and disadvantages	6
Control chart pattern recognition for small samples based on Siamese Neural Network	6
On reliability analysis of one-shot devices with manufacturing defects	6
Self-organized criticality in manufacturing system unscheduled downtime series and its application to major failure prediction	6
Active learning for industrial applications	5
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
The case against generally weighted moving average (GWMA) control charts	5
Statistical engineering: Synergies with established engineering disciplines	5
CUSUM design for detection of event-rate increases for a Poisson process	5
A Bayesian nonparametric system reliability model which integrates multiple sources of lifetime information	5
A Conversation with Christine M. Anderson-Cook	5
Design of Multiple Deferred State Repetitive Group Sampling Plans for Life Tests based on Generalized Gamma Distribution	5
Introduction to special edition of Quality Engineering	5
An online approach for robust parameter design with incremental Gaussian process	5
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
Simultaneous tolerance intervals for response surface designs	4
A neural network-based control chart for monitoring and interpreting autocorrelated multivariate processes using layer-wise relevance propagation	4
Statistical engineering – Part 2: Future	4
Hidden dimensions of the data: PCA vs autoencoders	4