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An event-driven manufacturing information system architecture for Industry 4.0
Department of Automatic Control, Lund University.
Department of Automation, Signals and System, Chalmers University of Technology.
KTH, School of Industrial Engineering and Management (ITM), Production Engineering. Department of Automation, Department of Automation, Signals and System, Chalmers University of Technology.
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
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2016 (English)In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588XArticle, review/survey (Refereed) Published
Abstract [en]

Future manufacturing systems need to be more flexible, to embrace tougher and constantly changing market demands. Theyneed to make better use of plant data, ideally utilising all data from the entire plant. Low-level data should be refined toreal-time information for decision-making, to facilitate competitiveness through informed and timely decisions. The LineInformation System Architecture (LISA), is presented in this paper. It is an event-driven architecture featuring loose coupling,a prototype-oriented information model and formalised transformation services. LISA is designed to enable flexible factoryintegration and data utilisation. The focus of LISAis on integration of devices and services on all levels, simplifying hardwarechanges and integration of new smart services as well as supporting continuous improvements on information visualisationand control. The architecture has been evaluated on both real industrial data and industrial demonstrators and it is also beinginstalled at a large automotive company. This article is an extended and revised version of the paper presented at the 2015IFAC Symposium on Information Control in Manufacturing (INCOM 2015). The paper has been restructured in regards tothe order and title of the chapters, and additional information about the integration between devices and services aspects havebeen added. The introduction and the general structure of the paper now better highlight the contributions of the paper andthe uniqueness of the framework.

Place, publisher, year, edition, pages
Taylor & Francis, 2016.
Keyword [en]
Automation; agile manufacturing; manufacturing information systems; service-oriented manufacturing systems; event-driven architecture
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
SRA - Production
Identifiers
URN: urn:nbn:se:kth:diva-189591DOI: 10.1080/00207543.2016.120160410.1080/00207543.2016.1201604OAI: oai:DiVA.org:kth-189591DiVA: diva2:947278
Funder
VINNOVA, 2011-01792XPRES - Initiative for excellence in production research
Note

QC 20160727

Available from: 2016-07-07 Created: 2016-07-07 Last updated: 2016-07-27Bibliographically approved

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