OOIR: Observatory of International Research

Papers

(The TQCC of Quality Engineering is 5. 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 2022-06-01 to 2026-06-01.)

Article	Citations
Modeling the output from a commercial chemical process using regression models from survival analysis	130
Letter to the quality engineering editor	49
Evaluation of manufacturing process in low variety high volume industry with the coupling of cloud model theory and TOPSIS approach	35
Statistical process monitoring for vector autoregressive time series based on location-scale CUSUM method	25
Acceptance sampling with multiple inspectors: Critical aspects in aggregating individual assessments	24
Alternative parameter learning schemes for monitoring process stability	22
Enhancing Six Sigma with latent variable models: An industrial application of multivariate Six Sigma in the automotive sector	21
Exploratory image data analysis for quality improvement hypothesis generation	17
Critical success factors for implementing Industry 4.0 in Aerospace and Defense: A systematic literature review	17
Tukey-EWMA control chart with variable sampling intervals for process monitoring	17
Simultaneous detection of shifts in the marginal and dependence terms for multivariate quality control	15
Optimal plans for accelerated destructive degradation tests with stress interaction effects	15
Corporation-wide variation reduction	15
Concerns about designing C _pk sampling plans with an approximate cumulative	14
The statistical finite element method: A theoretical foundation for digital twins	14
Data quality and statistics: Perfect together?	14
Effects of measurement errors on semicircle control chart	13
Lean, data, and statistics	12
Multi-branch convolutional attention network for multi-sensor feature fusion in intelligent fault diagnosis of rotating machinery	12
A primer on predictive maintenance: Potential benefits and practical challenges	11
A note on compositional data gauge R&R studies	11
Reliability modeling for multi-component system subject to dependent competing failure processes with phase-type distribution considering multiple shock sources	11
Sequential learning in practice: A case study in drug product development	11
Grey Duane model for reliability growth prediction under small sample uncertain failure data	10
Appropriate care in a hospital: A case study in a breast center	9

Befitting bootstrap analysis: A case study	9
Application of Bayesian control charts with dynamic adjustment for risk monitoring	9
Shared frailty models for multiple repairable systems under imperfect repair	9
Accelerated failure time analysis for industrial life modeling in presence of unknown dependent and independent censoring	9
Approximate dynamic programming methods in Bayesian preference elicitation	8
Reliability analysis for systems subject to dependent and competing failure processes with random failure thresholds	8
Optimal test design for reliability demonstration under multi-stage acceptance uncertainties	8
Discussion of “Industrial process analytics: multiscale approaches for integrating process knowledge and data induction for improving industrial processes and products”	8
Semi-supervised learning for predictive modeling in industrial applications	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	8
Evidential FMEA method for human reliability assessment	7
A CUSUM control chart for the Gamma distribution with cautious parameter learning	7
Control chart pattern recognition for small samples based on Siamese Neural Network	7
Remaining useful life prediction using the similarity-based integrations of multi-sensors data	7
A statistical engineering approach to problem-solving	7
Generating exact optimal designs via particle swarm optimization: Assessing efficacy and efficiency via case study	7
On reliability analysis of one-shot devices with manufacturing defects	6
Statistical engineering: Synergies with established engineering disciplines	6
Active learning for industrial applications	6
Some useful tactics for statisticians solving complex problems	6
The North America competitive product laundry initiative – a case study on thorough understanding and quantitation of laundry product performance through Statistical Engineering	6
A practical insight into multivariate process capability indices	6
Design of Multiple Deferred State Repetitive Group Sampling Plans for Life Tests based on Generalized Gamma Distribution	6
Introduction to special edition of Quality Engineering	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
First to signal criterion for comparing control chart performance	6
A statistical approach to quality evaluation of AI mislabel detection algorithm	6
Simultaneous tolerance intervals for response surface designs	5
Product quality prediction based on process data: Taking the gearbox of Company D as an example	5
A Conversation with Christine M. Anderson-Cook	5
Rejoinder	5
Question, plan, data, Analysis, and Conclusion (QPDAC): A tutorial	5
A Bayesian nonparametric system reliability model which integrates multiple sources of lifetime information	5
A neural network-based control chart for monitoring and interpreting autocorrelated multivariate processes using layer-wise relevance propagation	5
Discussion of a nice paper with a long title	5
A systematic assessment of Large Language Models for constructing two-level fractional factorial designs	5
An online approach for robust parameter design with incremental Gaussian process	5
Statistical engineering – Part 2: Future	5
A reliability approach for prediction and management of part obsolescence for improved system health	5