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Original Articles

An event-driven manufacturing information system architecture for Industry 4.0

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Pages 1297-1311 | Received 12 Nov 2015, Accepted 31 May 2016, Published online: 05 Jul 2016
 

Abstract

Future manufacturing systems need to be more flexible, to embrace tougher and constantly changing market demands. They need to make better use of plant data, ideally utilising all data from the entire plant. Low-level data should be refined to real-time information for decision-making, to facilitate competitiveness through informed and timely decisions. The Line Information 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 factory integration and data utilisation. The focus of LISA is on integration of devices and services on all levels, simplifying hardware changes and integration of new smart services as well as supporting continuous improvements on information visualisation and control. The architecture has been evaluated on both real industrial data and industrial demonstrators and it is also being installed at a large automotive company. This article is an extended and revised version of the paper presented at the 2015 IFAC Symposium on Information Control in Manufacturing (INCOM 2015). The paper has been restructured in regards to the order and title of the chapters, and additional information about the integration between devices and services aspects have been added. The introduction and the general structure of the paper now better highlight the contributions of the paper and the uniqueness of the framework.

Acknowledgements

The authors are grateful to the VINNOVA FFI programme as main funder of this project. A. Theorin and C. Johnsson are members of the LCCC Linnaeus Center and the ELLIIT Excellence enter at Lund University. M. Lieder and T. Lundholm are team members of XPRES-Initiative for excellence in production research at KTH Royal Institute of Technology. K. Bengtsson and B. Lennartson are members of the Wingquist Laboratory VINN Excellence Center at Chalmers University of Technology.

Notes

No potential conflict of interest was reported by the authors.

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