An event-driven manufacturing information system architecture for Industry 4.0

Alfred Theorin, Kristofer Bengtsson, Julien Provost, Michael Lieder, Charlotta Johnsson, Thomas Lundholm, Bengt Lennartson

Research output: Contribution to journalArticlepeer-review

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 LISAis 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.
Original languageEnglish
Pages (from-to)1297-1311
JournalInternational Journal of Production Research
Volume55
Issue number5
Early online date2016 Jul 5
DOIs
Publication statusPublished - 2017 Mar 4

Subject classification (UKÄ)

  • Engineering and Technology
  • Electrical Engineering, Electronic Engineering, Information Engineering

Free keywords

  • automation
  • agile manufacturing
  • manufacturing information systems
  • service-oriented manufacturing systems
  • event-driven architecture

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