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 …

[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 …

[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 …

Deep learning for multivariate statistical in-process control in discrete manufacturing: A case study in a sheet metal forming process

T Biegel, N Jourdan, C Hernandez, A Cviko… - Procedia CIRP, 2022 - Elsevier
Detecting abnormal conditions in manufacturing processes is a crucial task to avoid
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

D Schorn-Garcia, J Cavaglia, B Giussani, O Busto… - Microchemical …, 2021 - Elsevier
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 …

Multivariate hotelling T2 control chart for monitoring some quality characteristics in medium density fiberboard manufacturing process

S Tiryaki, A Aydin - Drvna industrija, 2022 - hrcak.srce.hr
Sažetak Statistical process control tools are of great importance in terms of controlling
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 …

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 …

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 …

Machine learning for intelligent maintenance and quality control: A review of existing datasets and corresponding use cases

N Jourdan, L Longard, T Biegel… - ESSN: 2701 …, 2021 - repo.uni-hannover.de
The advent of artificial intelligence and machine learning is influencing the manufacturing
industry profoundly, enabling unprecedented opportunities to improve manufacturing …