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

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.

2020 ◽  
Vol 110 (03) ◽  
pp. 125-129
Author(s):  
Robin Sochor ◽  
Lukas Merkel ◽  
Stefan Braunreuther ◽  
Gunther Reinhart ◽  
Franz Greiter

Digitale, kognitive Assistenz- und betriebliche Anreizsysteme können zusammen Leistungsvoraussetzungen und -bereitschaft manueller Montagemitarbeiter fördern. Dieser Beitrag liefert eine Methode zur unternehmensspezifischen Quantifizierung des wirtschaftlichen Mehrwertes einer Anreizimplementierung zur Stimulation von Montagequalität, -produktivität und Wissensweitergabe.   Digital, cognitive assistance systems and operational incentive systems are able to improve the prerequisites and motivation for better performance of assembly workers. This article shows a method to quantify the economic value added by the implementation of an incentive system to stimulate quality, productivity and spread of knowledge in the manual assembly.


1996 ◽  
Vol 33 (3) ◽  
pp. 268-280 ◽  
Author(s):  
John R. Hauser ◽  
Duncan I. Simester ◽  
Birger Wernerfelt

To push a customer and market orientation deep into the organization, many firms have adopted systems by which internal customers evaluate internal suppliers. The internal supplier receives a larger bonus for a higher evaluation. The authors examine two internal customer-internal supplier incentive systems. In one system, the internal customer provides the evaluation implicitly by selecting the percentage of its bonus that is based on market outcomes (e.g., a combination of net sales and customer satisfaction if these measures can be tied to incremental profits). The internal supplier's reward is based on the percentage that the internal customer chooses. In the second system, the internal customer selects target market outcomes, and the internal supplier is rewarded on the basis of the target. In each incentive system, some risk is transferred from the firm to the employees, and the firm must pay for this; but in return, the firm need not observe either the internal supplier's or the internal customer's actions. The incentive systems are robust even if the firm guesses wrongly about what employees perceive as costly and about how employee actions affect profit. The authors discuss how these systems relate to internal customer satisfaction systems and profit centers.


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

2021 ◽  
Vol 16 (4) ◽  
pp. 393-404
Author(s):  
A. Riedel ◽  
J. Gerlach ◽  
M. Dietsch ◽  
S. Herbst ◽  
F. Engelmann ◽  
...  

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.


2021 ◽  
pp. 215-228
Author(s):  
Tina Haase ◽  
◽  
Wilhelm Termath ◽  
Michael Dick ◽  
Michael Schenk ◽  
...  

In this paper, the authors present a methodological approach for designing assistance systems conducive to learning. The theoretical framework is based on the activity system and the concept of expansive learning. From this, the authors develop the learning activity system. The application and further development of this theoretical framework is presented on the basis of an industrial application scenario of mechatronic reprocessing in the automotive industry. It includes a systematic approach to technology selection and design that serves as a practical action guide for companies designing assistance systems. In addition, dimensions conducive to learning are developed and linked to the activity system approach. This integrated model provides requirements for the design of an assistance system conducive to learning. The paper also describes concrete requirements and measures of a participatory design and implementation process.


2017 ◽  
Vol 20 (02n03) ◽  
pp. 1750003 ◽  
Author(s):  
FRIEDERIKE WALL

The paper studies which incentive systems emerge in organizations when self-interested managers collaboratively search for higher levels of organizational performance and the headquarters learn about the success of the incentive systems employed. The study uses an agent-based simulation and, in particular, controls for different levels of intra-organizational complexity and modes of coordination, i.e., the way how preferences on the departmental site are aligned with each other in respect to the overall organizational objective. The results indicate that for different levels of intra-organizational complexity different incentive systems emerge: With lower intra-organizational complexity, in tendency, the less focus is put on firm performance and vice versa. However, results also suggest that the mode of coordination may considerably affect the emergence of the incentive structure. This provides support for the idea that multiple management controls, like the incentive system and the mode of coordination, should be regarded and designed as a system with interrelations among its components and not just as a collection of several control practices.


Author(s):  
Arun Ramakrishnan ◽  
Zubair Bhatti ◽  
Davy Preuveneers ◽  
Yolande Berbers ◽  
Aliaksei Andrushevich ◽  
...  

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