scholarly journals Grasp Planning for Flexible Production with Small Lot Sizes based on CAD models using GPIS and Bayesian Optimization

2021 ◽  
Author(s):  
Jianjie Lin ◽  
Markus Rickert ◽  
Alois Knoll
Keyword(s):  
Bayesian Optimization ◽  
Flexible Production ◽  
Grasp Planning ◽  
Cad Models ◽  
Lot Sizes

Konfiguration der Variantenflexibilität/Flexibility Configuration in High Variety Production Systems

2020 ◽  
Vol 110 (04) ◽  
pp. 245-249
Author(s):  
Roman Ungern-Sternberg ◽  
Klaus Erlach
Keyword(s):  
Production Systems ◽  
Flexible Production ◽  
Maximum Production ◽  
Production Flexibility ◽  
Lot Sizes ◽  
Production Resources

Flexible Produktionsressourcen stellen die aktuell benötigen Artikel wirtschaftlich her. Mithilfe des EPEI (Every-Part-Every-Interval) lassen sich Losgrößen für eine maximal flexible Produktion berechnen. Der vorgestellte Ansatz erweitert die EPEI Berechnung um einen Kennwert zur Bestimmung und Konfiguration des Flexibilitäts-Engpasses in auftragsbasierten Produktionen und zeigt die Durchführung an einem Beispiel.   Flexible production resources produce efficiently the currently required articles. Based on the EPEI (Every-Part-Every-Interval) lot sizes for maximum production flexibility can be calculated. The presented approach extends the EPEI concept by a parameter to detect flexibility-bottlenecks in order-based production systems and shows the application in an example.

Theoretical Studies of the Acid-Base Equilibria in a Model Active Site of the Human 20S Proteasome

2020 ◽  
Author(s):  
Jon Uranga ◽  
Lukas Hasecke ◽  
Jonny Proppe ◽  
Jan Fingerhut ◽  
Ricardo A. Mata
Keyword(s):  
Active Site ◽  
Boronic Acid ◽  
Computational Study ◽  
Ubiquitin Proteasome System ◽  
Bayesian Optimization ◽  
Inhibition Mechanism ◽  
20S Proteasome ◽  
Acid Base ◽  
Ubiquitin Proteasome ◽  
Infection Cycles

The 20S Proteasome is a macromolecule responsible for the chemical step in the ubiquitin-proteasome system of degrading unnecessary and unused proteins of the cell. It plays a central role both in the rapid growth of cancer cells as well as in viral infection cycles. Herein, we present a computational study of the acid-base equilibria in an active site of the human proteasome, an aspect which is often neglected despite the crucial role protons play in the catalysis. As example substrates, we take the inhibition by epoxy and boronic acid containing warheads. We have combined cluster quantum mechanical calculations, replica exchange molecular dynamics and Bayesian optimization of non-bonded potential terms in the inhibitors. In relation to the latter, we propose an easily scalable approach to the reevaluation of non-bonded potentials making use of QM/MM dynamics information. Our results show that coupled acid-base equilibria need to be considered when modeling the inhibition mechanism. The coupling between a neighboring lysine and the reacting threonine is not affected by the presence of the inhibitor.

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