Organizational Learning Supported by Reference Architecture Models: Industry 4.0 Laboratory Study
Author(s) -
Marco Nardello,
Charles Møller,
John Gøtze
Publication year - 2017
Publication title -
complex systems informatics and modeling quarterly
Language(s) - English
Resource type - Journals
ISSN - 2255-9922
DOI - 10.7250/csimq.2017-12.02
Subject(s) - manufacturing , architecture , industry 4.0 , manufacturing engineering , smart manufacturing , production (economics) , advanced manufacturing , engineering , engineering management , computer science , knowledge management , business , marketing , data mining , art , macroeconomics , economics , visual arts
The wave of the fourth industrial revolution (Industry 4.0) is bringing a new vision of the manufacturing industry. In manufacturing, one of the buzzwords of the moment is "Smart production". Smart production involves manufacturing equipment with many sensors that can generate and transmit large amounts of data. These data and information from manufacturing operations are however not shared in the organization. Therefore the organization is not using them to learn and improve their operations. To address this problem, the authors implemented in an Industry 4.0 laboratory an instance of an emerging technical standard specific for the manufacturing industry. Global manufacturing experts consider the Reference Architecture Model Industry 4.0 (RAMI4.0) as one of the corner stones for the implementation of Industry 4.0. The instantiation contributed to organizational learning in the laboratory by collecting and sharing up-to-date information concerning manufacturing equipment. This article discusses and generalizes the experience and outlines future research directions.
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