QbD/PAT—State of the art of multivariate methodologies in food and food-related biotech industries
CH Pérez-Beltrán, AM Jiménez-Carvelo… - Food Engineering …, 2023 - Springer
Several investigations have been made at lab scale considering the quality by design (QbD)
and process analytical technology (PAT) approaches. Nonetheless, such applications have …
and process analytical technology (PAT) approaches. Nonetheless, such applications have …
[HTML][HTML] Blockchain and Digital Twins in Smart Industry 4.0: The Use Case of Supply Chain-A Review of Integration Techniques and Applications
C Roumeliotis, M Dasygenis, V Lazaridis, M Dossis - Designs, 2024 - mdpi.com
The Fourth Industrial Revolution has transformed industries and supply chains by integrating
advanced operations, tools, and logistics services. Despite these advancements, challenges …
advanced operations, tools, and logistics services. Despite these advancements, challenges …
[HTML][HTML] A multivariate approach for evaluation and monitoring of water quality in mining and minerals processing industry
TMK Le, M Mäkelä, N Schreithofer, O Dahl - Minerals Engineering, 2020 - Elsevier
Due to the scarcity of water resources and stricter government regulations, water recycling in
the mining industry is becoming a key solution to save water and build zero-emission …
the mining industry is becoming a key solution to save water and build zero-emission …
Deep learning for multivariate statistical in-process control in discrete manufacturing: A case study in a sheet metal forming process
Detecting abnormal conditions in manufacturing processes is a crucial task to avoid
unplanned downtimes and prevent quality issues. The increasing amount of available high …
unplanned downtimes and prevent quality issues. The increasing amount of available high …
[HTML][HTML] ATR-MIR spectroscopy as a process analytical technology in wine alcoholic fermentation–a tutorial
The goal of this article is to guide the reader through the critical points to be faced when
monitoring a fermentation following a Process Analytical Technology (PAT) approach. To …
monitoring a fermentation following a Process Analytical Technology (PAT) approach. To …
Multivariate hotelling T2 control chart for monitoring some quality characteristics in medium density fiberboard manufacturing process
Sažetak Statistical process control tools are of great importance in terms of controlling
manufacturing processes and improving product quality. In this study, the manufacturing …
manufacturing processes and improving product quality. In this study, the manufacturing …
Multivariate SPC methods for controlling manufacturing processes using predictive models–A case study in the automotive sector
R Sanchez-Marquez, JMJ Vivas - Computers in Industry, 2020 - Elsevier
The main objective is to develop and test a novel SPC method to ensure the stability of final
customer characteristics by controlling the upstream characteristics of manufacturing …
customer characteristics by controlling the upstream characteristics of manufacturing …
A statistical approach to social network monitoring
EM Farahani, R Baradaran Kazemzadeh… - … in Statistics-Theory …, 2017 - Taylor & Francis
Social network monitoring consists of monitoring changes in networks with the aim of
detecting significant ones and attempting to identify assignable cause (s) contributing to the …
detecting significant ones and attempting to identify assignable cause (s) contributing to the …
A control chart for multivariate Poisson distribution using repetitive sampling
M Aslam, G Srinivasa Rao, L Ahmad… - Journal of Applied …, 2017 - Taylor & Francis
Control charts using repetitive group sampling have attracted a great deal of attention during
the last few years. In the present article, we attempt to develop a control chart for the …
the last few years. In the present article, we attempt to develop a control chart for the …
Machine learning for intelligent maintenance and quality control: A review of existing datasets and corresponding use cases
The advent of artificial intelligence and machine learning is influencing the manufacturing
industry profoundly, enabling unprecedented opportunities to improve manufacturing …
industry profoundly, enabling unprecedented opportunities to improve manufacturing …