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 2021-12-01 to 2025-12-01.)

Article	Citations
Modeling the output from a commercial chemical process using regression models from survival analysis	116
Letter to the quality engineering editor	36
Exploratory image data analysis for quality improvement hypothesis generation	26
Alternative parameter learning schemes for monitoring process stability	21
Acceptance sampling with multiple inspectors: Critical aspects in aggregating individual assessments	20
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	19
Statistical process monitoring for vector autoregressive time series based on location-scale CUSUM method	18
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	15
Concerns about designing C _pk sampling plans with an approximate cumulative distribution function	14
Data quality and statistics: Perfect together?	14
Using a baseline with the probability of agreement to compare distribution characteristics	14
Simultaneous detection of shifts in the marginal and dependence terms for multivariate quality control	12
Reliability modeling for multi-component system subject to dependent competing failure processes with phase-type distribution considering multiple shock sources	11
Appropriate care in a hospital: A case study in a breast center	11
Multi-branch convolutional attention network for multi-sensor feature fusion in intelligent fault diagnosis of rotating machinery	11
Effects of measurement errors on semicircle control chart	11
Lean, data, and statistics	11
Befitting bootstrap analysis: A case study	11
A note on compositional data gauge R&R studies	10
Shared frailty models for multiple repairable systems under imperfect repair	10
Accelerated failure time analysis for industrial life modeling in presence of unknown dependent and independent censoring	10
Reliability analysis for systems subject to dependent and competing failure processes with random failure thresholds	10
Sequential learning in practice: A case study in drug product development	10

Grey Duane model for reliability growth prediction under small sample uncertain failure data	9
A primer on predictive maintenance: Potential benefits and practical challenges	8
Approximate dynamic programming methods in Bayesian preference elicitation	8
Semi-supervised learning for predictive modeling in industrial applications	7
Optimal test design for reliability demonstration under multi-stage acceptance uncertainties	7
Evidential FMEA method for human reliability assessment	7
The decay of Six Sigma and the rise of Quality 4.0 in manufacturing innovation	7
Generating exact optimal designs via particle swarm optimization: Assessing efficacy and efficiency via case study	7
System reliability optimization with two-sided power distributed component failure times	7
Remaining useful life prediction using the similarity-based integrations of multi-sensors data	7
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
Design of Multiple Deferred State Repetitive Group Sampling Plans for Life Tests based on Generalized Gamma Distribution	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
Cause-and-effect diagram-based supersaturated designs	6
A CUSUM control chart for the Gamma distribution with cautious parameter learning	6
Control chart pattern recognition for small samples based on Siamese Neural Network	6
Statistical engineering: Synergies with established engineering disciplines	6
A statistical approach to quality evaluation of AI mislabel detection algorithm	6
CUSUM design for detection of event-rate increases for a Poisson process	5
Introduction to special edition of Quality Engineering	5
Rejoinder	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
Discussion of a nice paper with a long title	5
Statistical engineering – Part 2: Future	5
Active learning for industrial applications	5
A Bayesian nonparametric system reliability model which integrates multiple sources of lifetime information	5
A Conversation with Christine M. Anderson-Cook	5
A conversation with Ron Snee	4
Modified Imperfect Repair Model (ARAM ₁ ) and new PLP parameterization	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
Hidden dimensions of the data: PCA vs autoencoders	4
Availability and cost models for sequentially inspected systems with dependent catastrophic and soft failures	4
Using statistical engineering in pharmaceutical and biotech problem solving a case study	4
An online approach for robust parameter design with incremental Gaussian process	4
A reliability approach for prediction and management of part obsolescence for improved system health	4
Question, plan, data, Analysis, and Conclusion (QPDAC): A tutorial	4
Two-level D-optimal designs for run sizes that are one less than a multiple of four	4
Process Analytical Technology, continuous manufacturing, and the development of a surrogate model for dissolution: a pharmaceutical manufacturing statistical engineering case study	4
Equivalences between multiple dependent state sampling, chain sampling, and control chart runs rules	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