Smart Manufacturing Systems: Model-Driven Integration of ERP and MOM

Bernhard Wally

Research output: ThesisDoctoral thesis

Abstract

Automated production systems are following a general technological trend: increasingly complex products, combined with drastically reduced lot-sizes per product variant, as well as shorterresponse and production times are being demanded. In order to be able to meet these expectations, modern IT systems at all levels of the automation hierarchy are required: from business related software at the corporate management level, down to the programmablelogic controllers at the field level. For a well-designed coupling of systems that are located at different levels, it is necessary to find, define, and implement clear data conversion mechanisms - this endeavor is also known as vertical integration. At thesame time, it is necessary to automate the inter-organizational data exchange - an aspect of horizontal integration. In this thesis, we are recapitulating a selection of own contributions in the context of information integration for smart manufacturing systems. With respect to conceptual models wehave been employing established industrial standards, in order to facilitate industrial application. We have conceptualized, implemented and tested a series of conceptual models, inter-model mappings and transformations. Our approaches and implementationshave been successfully evaluated by a number of experiments and case studies and are therefore a contribution towards model-driven smart manufacturing systems.
Original languageEnglish
Supervisors/Reviewers
  • Wimmer, Manuel, Co-supervisor
Publication statusPublished - Jun 2020

Fields of science

  • 202005 Computer architecture
  • 202017 Embedded systems
  • 102 Computer Sciences
  • 102002 Augmented reality
  • 102006 Computer supported cooperative work (CSCW)
  • 102015 Information systems
  • 102020 Medical informatics
  • 102022 Software development
  • 102034 Cyber-physical systems
  • 201132 Computational engineering
  • 201305 Traffic engineering
  • 207409 Navigation systems
  • 502032 Quality management
  • 502050 Business informatics

JKU Focus areas

  • Digital Transformation

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