# Advanced Statistical Process Monitoring

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/advanced-statistical-process-monitoring/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the application of statistical process control (SPC) in research and healthcare improvement. It covers topics such as control charts, multivariate monitoring, quality assurance, linear profiles, change-point detection, process capability indices, risk-adjusted charts, and profile monitoring in the context of healthcare and public health surveillance. |
| Domain | Social Sciences |
| Field | Decision Sciences |
| OpenAlex ID | t11443 |
| Works | 59 |

## Topic papers all

Showing 15 of 59.

- [Machine learning in manufacturing: advantages, challenges, and applications](https://scholariq.org/papers/machine-learning-in-manufacturing-advantages-challenges-and-applications/)
- [A Convolutional Neural Network for Fault Classification and Diagnosis in Semiconductor Manufacturing Processes](https://scholariq.org/papers/a-convolutional-neural-network-for-fault-classification-and-diagnosis-in/)
- [Quantitative measures of robustness for multivariable systems](https://scholariq.org/papers/quantitative-measures-of-robustness-for-multivariable-systems/)
- [Industrial Process Monitoring in the Big Data/Industry 4.0 Era: from Detection, to Diagnosis, to Prognosis](https://scholariq.org/papers/industrial-process-monitoring-in-the-big-data-industry-4-0-era-from-detection-to/)
- [Alternative Approaches to Estimation of Population Pharmacokinetic Parameters: Comparison with the Nonlinear Mixed-Effect Model](https://scholariq.org/papers/alternative-approaches-to-estimation-of-population-pharmacokinetic-parameters/)
- [Stream of Variation Modeling and Analysis for Multistage Manufacturing Processes](https://scholariq.org/papers/stream-of-variation-modeling-and-analysis-for-multistage-manufacturing-processes/)
- [Quality control and improvement for multistage systems: A survey](https://scholariq.org/papers/quality-control-and-improvement-for-multistage-systems-a-survey/)
- [Control chart methods for monitoring cardiac surgical performance and their interpretation](https://scholariq.org/papers/control-chart-methods-for-monitoring-cardiac-surgical-performance-and-their/)
- [Fault detection in the Tennessee Eastman benchmark process using dynamic principal components analysis based on decorrelated residuals (DPCA-DR)](https://scholariq.org/papers/fault-detection-in-the-tennessee-eastman-benchmark-process-using-dynamic/)
- [Modeling Procedure and Surgical Times for Current Procedural Terminology-Anesthesia-Surgeon Combinations and Evaluation in Terms of Case-Duration Prediction and Operating Room Efficiency: A Multicenter Study](https://scholariq.org/papers/modeling-procedure-and-surgical-times-for-current-procedural-terminology/)
- [Machine learning for anomaly detection and process phase classification to improve safety and maintenance activities](https://scholariq.org/papers/machine-learning-for-anomaly-detection-and-process-phase-classification-to/)
- [Robust estimation of mean and variance using environmental data sets with below detection limit observations](https://scholariq.org/papers/robust-estimation-of-mean-and-variance-using-environmental-data-sets-with-below/)
- [A systematic comparison of PCA‐based Statistical Process Monitoring methods for high‐dimensional, time‐dependent Processes](https://scholariq.org/papers/a-systematic-comparison-of-pca-based-statistical-process-monitoring-methods-for/)
- [Dispersive distributions, and the connection between dispersivity and strong unimodality](https://scholariq.org/papers/dispersive-distributions-and-the-connection-between-dispersivity-and-strong/)
- [Online monitoring of multi-phase batch processes using phase-based multivariate statistical process control](https://scholariq.org/papers/online-monitoring-of-multi-phase-batch-processes-using-phase-based-multivariate/)

## Topic primary papers

- [Stream of Variation Modeling and Analysis for Multistage Manufacturing Processes](https://scholariq.org/papers/stream-of-variation-modeling-and-analysis-for-multistage-manufacturing-processes/)
- [The p-control chart: a tool for care improvement](https://scholariq.org/papers/the-p-control-chart-a-tool-for-care-improvement/)
- [Non-normal Capability Indices for the Weibull and Lognormal Distributions](https://scholariq.org/papers/non-normal-capability-indices-for-the-weibull-and-lognormal-distributions/)
- [Recognition of Control Chart Pattern Using Improved Supervised Locally Linear Embedding and Support Vector Machine](https://scholariq.org/papers/recognition-of-control-chart-pattern-using-improved-supervised-locally-linear/)
- [Big data driven order-up-to level model: Application of machine learning](https://scholariq.org/papers/big-data-driven-order-up-to-level-model-application-of-machine-learning/)
- [An improved exponential EWMA chart for monitoring time between events](https://scholariq.org/papers/an-improved-exponential-ewma-chart-for-monitoring-time-between-events/)
- [Data-driven decision support for process quality improvements](https://scholariq.org/papers/data-driven-decision-support-for-process-quality-improvements/)
- [Research and Application of Intelligent Quality Control System Based on FMEA Repository](https://scholariq.org/papers/research-and-application-of-intelligent-quality-control-system-based-on-fmea/)
- [Statistical Condition Monitoring Based on Vibration Signals](https://scholariq.org/papers/statistical-condition-monitoring-based-on-vibration-signals/)
- [Statistical Control Process Becomes a Common Tool in the Chassis Industry Improvement Process in the Information Era](https://scholariq.org/papers/statistical-control-process-becomes-a-common-tool-in-the-chassis-industry/)
- [PROCESS VARIABILITY REDUCTION THROUGH STATISTICAL PROCESS CONTROL FOR QUALITY IMPROVEMENT ON TURNING PROCESS](https://scholariq.org/papers/process-variability-reduction-through-statistical-process-control-for-quality/)
- [Plasma Process Classification Using Causal Discovery Technique](https://scholariq.org/papers/plasma-process-classification-using-causal-discovery-technique/)
- [Selecting the correct control chart: A practical example from adolescent care](https://scholariq.org/papers/selecting-the-correct-control-chart-a-practical-example-from-adolescent-care/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.