Digital twinning in learning factories that learn

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Abstract

Address how they are established and (re)configured. With that, bringing together the variety of activities that take place, the different perspectives and levels of aggregation, and the educational concepts is far from trivial. In this, a digital twinning approach allows for mimicking the physical environment, but also for learning from experience and historical data. This is extrapolated in simulating potential futures by means of scenarios and what-if analyses, for example to allow developers, students, staff, and researchers to create foresights on potential lay-outs, planning, and use conditions. Then, synthetic environments (incorporating VR/AR), allow all stakeholders to be confronted with and reflect on the consequences of their own optimisation plans and decisions. To purposefully govern the process and to actively learn from the observations, the daydreaming approach brings together the physical reality, envisaged situations, and all simulations. This paper presents how digital twinning and the daydreaming approach contribute to anticipating potential manifestations of the learning factory.
Original languageEnglish
Number of pages6
DOIs
Publication statusPublished - 7 Jun 2023
Event13th Conference on Learning Factories 2023, CLF 2023 - Reutlingen University, Reutlingen, Germany
Duration: 9 May 202311 May 2023
Conference number: 13

Conference

Conference13th Conference on Learning Factories 2023, CLF 2023
Abbreviated titleCLF 2023
Country/TerritoryGermany
CityReutlingen
Period9/05/2311/05/23

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