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A Systematic Mapping Study on Modeling for Industry 4.0

Andreas Wortmann 1 Benoit Combemale 2 Olivier Barais 2 
2 DiverSe - Diversity-centric Software Engineering
Inria Rennes – Bretagne Atlantique , IRISA-D4 - LANGAGE ET GÉNIE LOGICIEL
Abstract : Industry 4.0 is a vision of manufacturing in which smart, interconnected production systems optimize the complete value-added chain to reduce cost and time-to-market. At the core of Industry 4.0 is the smart factory of the future, whose successful deployment requires solving challenges from many domains. Model-based systems engineering (MBSE) is a key enabler for such complex systems of systems as can be seen by the increased number of related publications in key conferences and journals. This paper aims to characterize the state of the art of MBSE for the smart factory through a systematic mapping study on this topic. Adopting a detailed search strategy, 1466 papers were initially identified. Of these, 222 papers were selected and categorized using a particular classification scheme. Hence, we present the concerns addressed by the modeling community for Industry 4.0, how these are investigated, where these are published, and by whom. The resulting research landscape can help to understand, guide, and compare research in this field. In particular, this paper identifies the Industry 4.0 challenges addressed by the modeling community, but also the challenges that seem to be less investigated.
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Submitted on : Monday, July 12, 2021 - 11:05:27 PM
Last modification on : Monday, April 4, 2022 - 9:28:24 AM
Long-term archiving on: : Wednesday, October 13, 2021 - 8:15:01 PM


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  • HAL Id : hal-03284857, version 1


Andreas Wortmann, Benoit Combemale, Olivier Barais. A Systematic Mapping Study on Modeling for Industry 4.0. MODELS '17: Proceedings of the ACM/IEEE 20th International Conference on Model Driven Engineering Languages and Systems, Sep 2017, Austin, TX, USA, United States. ⟨hal-03284857⟩



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