Authors:
Patrick Tinz
1
;
Janik Tinz
1
and
Stefan Zander
2
Affiliations:
1
Accso Accelerated Solutions GmbH, Berliner Allee 58, 64295 Darmstadt and Germany
;
2
Hochschule Darmstadt, University of Applied Sciences, Schöfferstrasse 8B, 64295 Darmstadt and Germany
Keyword(s):
Knowledge Management, Industry 4.0, Smart Factory, Industrial Internet.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Enterprise Information Systems
;
Impact Measurement of Knowledge Management
;
KM Strategies and Implementations
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Symbolic Systems
Abstract:
This paper analyses current and well-known knowledge management models regarding their applicability to smart factories and the Industry 4.0. In form of a literature study, we surveyed the specific challenges and requirements that smart factories and the ongoing digital transition in the industrial sector introduce to knowledge management systems and models. In the second part, we then expound the extent to which those requirements are supported by well-established knowledge management models in form of a comparative analysis. A central result of this work is that an Industry 4.0 compliant knowledge management needs to incorporate aspects that emphasize human-machine and machine-machine interaction together with data protection and privacy concerns, besides other well-researched and established aspects.