J
Johan Stahre
Researcher at Chalmers University of Technology
Publications - 138
Citations - 3305
Johan Stahre is an academic researcher from Chalmers University of Technology. The author has contributed to research in topics: Automation & Flexibility (engineering). The author has an hindex of 28, co-authored 134 publications receiving 2629 citations. Previous affiliations of Johan Stahre include Jönköping University.
Papers
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Book ChapterDOI
The Operator 4.0: Human Cyber-Physical Systems & Adaptive Automation Towards Human-Automation Symbiosis Work Systems
TL;DR: A vision for the Operator 4.0 is presented in this paper in the context of human cyber-physical systems and adaptive automation towards human-automation symbiosis work systems for a socially sustainable manufacturing workforce.
Journal Article
Towards An Operator 4.0 Typology: A Human-Centric Perspective On The Fourth Industrial Revolution Technologies
David Romero Díaz,Johan Stahre,Thorsten Wuest,Ovidiu Noran,Peter Bernus,Åsa Fast-Berglund,Dominic Gorecky +6 more
TL;DR: In this article, the authors present early concepts and future projections of the so-called Operator 4.0, understood as a smart, skilled operator who performs not only cooperative work with robots but also aided work by machines as and if needed by means of human cyber-physical systems, advanced human-machine interaction technologies and adaptive automation towards achieving human-automation symbiosis work systems.
Proceedings ArticleDOI
Simulation-based sustainable manufacturing system design
Juhani Heilala,Saija Vatanen,Hannele Tonteri,Jari Montonen,Salla Lind,Björn Johansson,Johan Stahre +6 more
TL;DR: This paper proposes an integrated simulation tool helping to maximize production efficiency and balance environmental constraints already in the system design phase, and presents methods for calculating energy efficiency, CO2 emissions and other environmental impacts integrated into factory simulation software.
Journal ArticleDOI
Maintenance in digitalised manufacturing: Delphi-based scenarios for 2030
TL;DR: In this paper, the authors present a Delphi-based scenario planning study of maintenance organizations in digitalised manufacturing, focusing on the potential changes to the internal and external environment of maintenance organisations, considering both hard and soft dimensions.
Levels of automation in manufacturing
TL;DR: In this paper, the general understanding of task allocation in semi-automated systems is discussed and a systematic approach for changing the level of automation is presented. But the authors focus on task allocation and do not address the problem of task selection.