Development of a learning factory concept to train participants regarding digital and human centered decision support

• Published in: Procedia manufacturing 2018, Vol.23, p.165-170
• Main Authors: Oberc, Henning, Reuter, Melissa, Wannöffel, Manfred, Kuhlenkötter, Bernd
• Format: Article
• Language: English
• Subjects: digital; human centered decision support; indirect sector; Industrie 4.0; learning factory; middle management
• ISSN: 2351-9789; 2351-9789
• DOI: 10.1016/j.promfg.2018.04.011

Cyber-physical systems lead to an emerging quantity and quality of data that can be collected and processed within the whole production process. [1] This data helps to rationalize and optimize the production planning as well as the operative level. In order to handle this amount of complex information, digital support systems are required. Besides assistant systems, crosslinking of data and machines within a company is one of the central aspects of Industrie 4.0. In a round based training concept the connection between manufacturing execution systems and assistant systems will be explained. Furthermore the changes of work caused by decision support systems as well as the functionalities of assistance systems will be included in the new training concept. Assistant systems can be divided into cognitive and physical assistance. [2] In this article we focus on cognitive assistance. It has perceiving functions and the decision support function because there will be an increasing incidence in the future due to a higher amount of data. To support this theory research results from the project SOPHIE regarding digital and human centered decision support systems will be used. [3] Beside the effects of networking in a company for the employees of production and assembly on the shopfloor the new concept also tries to show the changes on the dispositive level and for employees in the middle management and decision makers.