Employee data model for flexible and intelligent assistance systems in smart factories

Arndt, Alexander ; Anderl, Reiner
Hrsg.: Ahram, T. ; Karwowski, W. (2016)
Employee data model for flexible and intelligent assistance systems in smart factories.
7th International Conference on Applied Human Factors and Ergonomics (AHFE). Orlando, Florida, USA (27.07.2016-31.07.2016)
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

By implementing solutions and approaches of the Industrie 4.0 the role of employee’s inhouse production environments underlie a significant change. This paper begins with an introduction and basics about Industrie 4.0 and the research project "Effiziente Fabrik 4.0". Thereafter requirements for the employee data model are presented for use in intelligent and flexible worker assistance systems. Then a concept for the employee data model is developed and described by using Unified Modeling Language (UML). The model consists of various partial models, including a newly developed qualification matrix. These partial models are all presented. Based on this, there will be a prototypical implementation of the employee data model. Thus the employee and his supervisor, for example, for human resources planning, the necessary information is always at hand ready on a tablet. Finally, an outlook on further work are given.

Typ des Eintrags:

Konferenzveröffentlichung

Erschienen:

2016

Herausgeber:

Ahram, T. ; Karwowski, W.

Autor(en):

Arndt, Alexander ; Anderl, Reiner

Art des Eintrags:

Bibliographie

Titel:

Employee data model for flexible and intelligent assistance systems in smart factories