A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Efficient Process for Batch Analysis
Identification of quality issues in batch production is relevant for stable and successful production. The identification of systematic quality issues and the identification of root causes is complex and challenging. Powerful multivariate statistical methods exist to perform batch analysis, yet their application is difficult due to data diversity and complexity in model training. Here, insights from data analysis projects on four batch plants are presented and real world challenges are reviewed. This leads to a semi‐automatic process for more efficient batch analysis overcoming the mentioned tedious tasks.
Efficient Process for Batch Analysis
Identification of quality issues in batch production is relevant for stable and successful production. The identification of systematic quality issues and the identification of root causes is complex and challenging. Powerful multivariate statistical methods exist to perform batch analysis, yet their application is difficult due to data diversity and complexity in model training. Here, insights from data analysis projects on four batch plants are presented and real world challenges are reviewed. This leads to a semi‐automatic process for more efficient batch analysis overcoming the mentioned tedious tasks.
Efficient Process for Batch Analysis
Schmidt, Benedikt (author) / Tan, Ruomu (author) / Li, Nuo (author) / Hollender, Martin (author) / Gärtler, Marco (author)
Chemie Ingenieur Technik ; 93 ; 1955-1967
2021-12-01
13 pages
Article (Journal)
Electronic Resource
English
Cost-Efficient Measurement System Analysis for Small-Batch Production
| British Library Online Contents | 2014
Assessing S-Type Process Quality of Data Involving Batch-to-Batch Variation
| British Library Online Contents | 2017
Emission Testing a Batch Process Source Using Process Simulation
| British Library Conference Proceedings | 1992
Application of Batch Poisson Process to Random-sized Batch Arrival of Sediment Particles
| HENRY – Federal Waterways Engineering and Research Institute (BAW) | 2016
PROCESS CONTROL AT A HAWAIIAN BATCH PLANT
| Online Contents | 1998