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2nd Workshop on Management for Industry 4.0 (MFI4.0), at

IFIP/IEEE IM 2021 - International Symposium
on Integrated Network Management

17-21 May 2021 // Bordeaux, France

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The transition from ISA-95 to RAMI4.0/IIRA based automation for production automation in Industry 4.0 is ongoing. This includes the integration of legacy OT with emerging IT technologies. Another aspect is automation/digitalisation across value networks involving a multitude of stakeholder in complex relationships.

The formation of such large to very large System of Systems (SoS) are foreseen. Such SoS will involve technologies like e.g. Smart IoT, AI, Analytics, Big data, 5G Semantic Web, Security, Ontologies and legacy technology. This technology will be distributed across multiple stakeholders with complex relationships. All in all aiming for efficient production of products or services.

Architectures like RAMI4.0 and IIRA have been presented but are still in early stages. Implementation platforms and frameworks are as well in early stage. Even less maturity is seen regarding engineering and management of such complex automation and digitalisation solution.

Such architectures and above technology will be used to automatically or autonomically control digitalized production infrastructures. Autonomous decisions require trustworthy and reliable data, operations, and decisions. However, trust related to e.g. industrial AI may mean different things depending on the type of stakeholder it concerns and will also require the consideration of socio technical aspects.

Industry4.0 calls for mobility and flexibility, which depends on wireless communication to complete industrial networks. Wire less in industry has arrived in IT and is pushing into the OT networks. 5G and WIFI6 are about to be established, which will also drive changes in network architecture and raise questions about trustworthiness and dependability.

To become successful, in real world production of goods and service, technology and stakeholder integration will need theory, architectures, management frameworks, security and experience knowledge related to management of such very large SoS. Thus theory, architectures, management frameworks and experience knowledge related to management of goods and service production is the focus of this proposed workshop.

Hence, this workshop will focus on a number of core engineering and management issues for Industry 4.0, associated theory, architectures, frameworks, security and experimental experience. The primary topics are:

  • Migration Management
  • Operational Management
  • Security Management
  • Trust and Ethics in Industrial AI
  • Automation evolution Management and Engineering
  • Product Life Cycle Management
  • Product Planning Management
  • Manufacturing Change Management
  • Manufacturing Process Management
  • Manufacturing Operations Management
  • Management of Digital Twins
  • Cyber Physical System of Systems

Additional topic may be considered given adequate arguments, therefore.

Important Dates:

Paper Submission Guidelines

Authors are invited to submit original contributions written in English that have not been published or submitted for publication elsewhere. Technical papers must be formatted using the IEEE 2-column format and not exceed 6 pages (including references), papers exceeding the limit will be rejected. We also appreciate position papers (4-6 pages, including references). All papers should be submitted through JEMS

Further Links

IEEE Templates
CALL FOR PAPERS (short, txt)


OC chair Professor Jerker Delsing, Lulea University of Technology, Lulea Sweden
OC Co chair FH-Professor Markus Tauber, University of Applied Science Burgenland, Eisenstadt, Austria
TPC chair Professor Giancarlo Fortino, University of Calabria, Italy
TPC Co chair Head of Wireless Communication Department Dr. Hans-Peter Bernhard, Silicon Austria Labs and JKU Linz, Austria
TPC Co chair Dr. Sabrina Luimpöck, University of Applied Sciences Burgenland, Eisenstadt, Austria
TPC Co chair Professor Dr. Robert Harrison, Warwick University, UK
TPC Co chair Professor Dr. Ing. Martin Wollschlaeger, TU Dresden, Germany

Contact TPC


MiF4.0, 2020