Kognitive und physische Assistenz in der Montage*/Cognitive and Physical Assistance in Assembly

2019 ◽  
Vol 109 (03) ◽  
pp. 122-127
Author(s):  
R. Sochor ◽  
A. Riegel ◽  
L. Merhar ◽  
T. Rusch ◽  
L. Merkel ◽  
...  
Keyword(s):  
Digital Technologies ◽  
Manual Assembly ◽  
Modular Assembly ◽  
Assembly Work ◽  
Assistance Systems

Kognitive und physische Assistenzsysteme können den Menschen bei der Bewältigung der steigenden Variantenvielfalt in der manuellen Montage unterstützen. In diesem Beitrag werden kognitive und physische Assistenzsysteme gemeinsam an modularen Systemarbeitsplätzen integriert. Bei der Einführung dieser Systeme erfolgt eine enge Einbindung der zukünftigen Nutzer, um die Akzeptanz der Assistenzsysteme zu sichern.   Cognitive and physical assistance systems can assist in manual assembly work to handle rising numbers of product variants. This article shows how to integrate cognitive and physical assistance systems at a modular assembly workplace. During the integration of the assistance systems an early involvement of the assembly worker benefits the acceptance of new digital technologies.

scholarly journals Approach to Increase Worker Acceptance of Cognitive Assistance Systems in Manual Assembly

Procedia CIRP ◽  
2019 ◽  
Vol 81 ◽  
pp. 926-931 ◽  
Author(s):  
Robin Sochor ◽  
Lorenz Kraus ◽  
Lukas Merkel ◽  
Stefan Braunreuther ◽  
Gunther Reinhart
Keyword(s):  
Manual Assembly ◽  
Cognitive Assistance ◽  
Assistance Systems

DEVELOPMENT OFFATIGUE IN THE TRAPEZIUS MUSCLE IN TWOLEVELS OF LIGHT MANUAL ASSEMBLY WORK

2007 ◽  
Vol 40 ◽  
pp. S71
Author(s):  
I. Kingma ◽  
T. Bosch ◽  
M.P. de Looze ◽  
B. Visser ◽  
J.H. van Dieën
Keyword(s):  
Trapezius Muscle ◽  
Manual Assembly ◽  
Assembly Work

scholarly journals A deep learning-based worker assistance system for error prevention: Case study in a real-world manual assembly

2021 ◽  
Vol 16 (4) ◽  
pp. 393-404
Author(s):  
A. Riedel ◽  
J. Gerlach ◽  
M. Dietsch ◽  
S. Herbst ◽  
F. Engelmann ◽  
...  
Keyword(s):  
Deep Learning ◽  
Assistance System ◽  
Control Group ◽  
Production Environment ◽  
Manual Assembly ◽  
Human Errors ◽  
Error Prevention ◽  
Detection Model ◽  
Assistance Systems

Modern assembly systems adapt to the requirements of customised and short-lived products. As assembly tasks become increasingly complex and change rapidly, the cognitive load on employees increases. This leads to the use of assistance systems for manual assembly to detect and avoid human errors and thus ensure consistent product quality. Most of these systems promise to improve the production environment but have hardly been studied quantitatively so far. Recent advances in deep learning-based computer vision have also not yet been fully exploited. This study aims to provide architectural, and implementational details of a state-of-the-art assembly assistance system based on an object detection model. The proposed architecture is intended to be representative of modern assistance systems. The error prevention potential is determined in a case study in which test subjects manually assemble a complex explosion-proof tubular lamp. The results show 51 % fewer assembly errors compared to a control group without assistance. Three of the four considered types of error classes have been reduced by at least 42 %. In particular, errors by omission are most likely to be prevented by the system. The reduction in the error rate is observed over the entire period of 30 consecutive product assemblies, comparing assisted and unassisted assembly. Furthermore, the recorded assembly data are found to be valuable regarding traceability and production improvement processes.

Testing and Analysis of Intensity of Illumination of Manual Assembly Workbench Surface

2012 ◽  
Vol 433-440 ◽  
pp. 324-330
Author(s):  
Yan Wei Du ◽  
Guang Wei Yu
Keyword(s):  
Light Source ◽  
Linear Form ◽  
Assembly Line ◽  
Scientific Basis ◽  
Working Environment ◽  
Work Efficiency ◽  
Manual Assembly ◽  
Assembly Work ◽  
Parallel Lines ◽  
High Illumination

the manual assembly line used for assembling a certain type of lighting panel was introduced. The manual assembly works were analyzed. The assembly workbench surface illumination of the assembly line was tested. According to the light source is linear form, the assembly workbench surface was divided into some rectangles firstly. The intensity of illumination of these rectangles centers were tested by the illuminance meter. The average illuminance was also calculated out. According to these values, the illuminance curves were draw, which were approximately parallel lines. Further, the time values of the workers complete the same assembly work in different illumination were measured. The analysis reveals that the high illumination or the low level of illumination will affect the work efficiency. The reasonable illumination interval values were found. The testing and analysis provide scientific basis for the adjustment of the workbench illuminance and the improvement of working environment lighting.

Auswahl und Weiterentwicklung von Anreizsystemen/Selection and further development of incentive systems - Current research into incentive systems in industry and digital advancement of manual assembly considering employment law

2021 ◽  
Vol 111 (03) ◽  
pp. 142-146
Author(s):  
Robin Sochor ◽  
Franz Greiter ◽  
Maximilian König ◽  
Julia Berger ◽  
Johannes Schilp
Keyword(s):  
Employment Law ◽  
Incentive System ◽  
Wird Eine ◽  
Incentive Systems ◽  
Manual Assembly ◽  
Assistance Systems ◽  
Further Development ◽  
Application Specific

Digitale Assistenzsysteme sowie betriebliche Anreizsysteme besitzen in ihrer Kombination das Potenzial, die Belastungssituation in der manuellen Montage zu senken und die Leistungsbereitschaft zu steigern. In diesem Beitrag wird eine auf Gamification beruhende Anreizimplementierung zur Verbesserung der Dimensionen Qualität, Produktivität und Wissensweitergabe unter Berücksichtigung geltenden Arbeitsrechtes und anwendungsspezifischer Anforderungen analysiert und weiterentwickelt.   The combination of digital assistance systems and operational incentive systems allows for improving the workload conditions and the motivation of manual assembly workers. This article analyzes and optimizes a gamification-based incentive system to stimulate quality, productivity and the spread of knowledge while considering current employment law and application-specific requirements.

Electromyographical manifestations of muscle fatigue during different levels of simulated light manual assembly work

2009 ◽  
Vol 19 (4) ◽  
pp. e246-e256 ◽  
Author(s):  
T. Bosch ◽  
M.P. de Looze ◽  
I. Kingma ◽  
B. Visser ◽  
J.H. van Dieën
Keyword(s):  
Muscle Fatigue ◽  
Manual Assembly ◽  
Assembly Work ◽  
Different Levels
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