Monitoring and control of beta-distributed multistage production processes

2017 ◽  
Vol 16 (1) ◽  
pp. 1-18 ◽  
Author(s):  
S. Kim ◽  
J. Kim ◽  
M. K. Jeong ◽  
K. N. Al-Khalifa ◽  
A. M. S. Hamouda ◽  
...  
2020 ◽  
Vol 47 (11) ◽  
pp. 947-964 ◽  
Author(s):  
Carina L. Gargalo ◽  
Isuru Udugama ◽  
Katrin Pontius ◽  
Pau C. Lopez ◽  
Rasmus F. Nielsen ◽  
...  

AbstractThe biomanufacturing industry has now the opportunity to upgrade its production processes to be in harmony with the latest industrial revolution. Technology creates capabilities that enable smart manufacturing while still complying with unfolding regulations. However, many biomanufacturing companies, especially in the biopharma sector, still have a long way to go to fully benefit from smart manufacturing as they first need to transition their current operations to an information-driven future. One of the most significant obstacles towards the implementation of smart biomanufacturing is the collection of large sets of relevant data. Therefore, in this work, we both summarize the advances that have been made to date with regards to the monitoring and control of bioprocesses, and highlight some of the key technologies that have the potential to contribute to gathering big data. Empowering the current biomanufacturing industry to transition to Industry 4.0 operations allows for improved productivity through information-driven automation, not only by developing infrastructure, but also by introducing more advanced monitoring and control strategies.


1991 ◽  
Vol 36 (2) ◽  
pp. 167-172 ◽  
Author(s):  
U. Brand ◽  
L. Brandes ◽  
V. Koch ◽  
T. Kullik ◽  
B. Reinhardt ◽  
...  

2015 ◽  
Vol 63 (12) ◽  
Author(s):  
Miriam Schleipen ◽  
Michael Okon ◽  
Robert Henßen ◽  
Thomas Hövelmeyer ◽  
Andreas Wagner ◽  
...  

AbstractToday modern production processes are monitored and controlled via process visualization systems. Engineering of these systems is done manually and often results in high costs and a number of errors. The purpose of the research project “PCFF” is to make a step towards “Industry 4.0” in this context and to increase flexibility of transport equipment and the corresponding software. This paper deals with the basic concept and architecture and highlights project results.


Metallurgist ◽  
1982 ◽  
Vol 26 (5) ◽  
pp. 149-151
Author(s):  
V. P. Taran ◽  
A. S. Kapustkin ◽  
V. N. Zinov'ev ◽  
E. P. Leont'eva ◽  
L. V. Ryzhkova ◽  
...  

Author(s):  
David C. Joy

Personal computers (PCs) are a powerful resource in the EM Laboratory, both as a means of automating the monitoring and control of microscopes, and as a tool for quantifying the interpretation of data. Not only is a PC more versatile than a piece of dedicated data logging equipment, but it is also substantially cheaper. In this tutorial the practical principles of using a PC for these types of activities will be discussed.The PC can form the basis of a system to measure, display, record and store the many parameters which characterize the operational conditions of the EM. In this mode it is operating as a data logger. The necessary first step is to find a suitable source from which to measure each of the items of interest. It is usually possible to do this without having to make permanent corrections or modifications to the EM.


2016 ◽  
Author(s):  
Giacomo Giannoccaro ◽  
Armando Ursitti ◽  
Maurizio Prosperi

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