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Industrial Digital Environments in Action: The OMiLAB Innovation Corner

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The Practice of Enterprise Modeling (PoEM 2020)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 400))

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Abstract

The digital transformation is a global mega trend that is triggered by the evolution of digital technology, that has the potential for every organisation to either optimize their current business via a digital innovation or by transforming the business via digital disruption. The challenge for every organisation is therefore to select and personalise the appropriate digital innovation. There is a plethora of methods and assessment frameworks, here we introduce the OMiLAB Innovation Corner that assists in (1) creating new business, (2) design the organisational model and (3) engineer proof-of-concept prototypes as a “communication media”. The unique value proposition of OMiLAB Innovation Corner is the model-based foundation that supports decision makers in key phases of the innovation. First, the creation of new business models by providing digital design thinking tools is assisted. Second, the design of the digital organisation by providing extended modelling capabilities is supported. Third, a proof-of-concept engineering providing robots and sensors is enabled. We share our practical exeriences by introducing (a) how new business models are created in the H2020 project Change2Twin to help manufacturing SMEs in their digital transformation, (b) how conceptual models are design in the H2020 project BIMERR to create digital twins of renovation processes and (d) how proof-of-concept engineering is performed in the FFG project complAI to analyse different robotic behaviour.

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Notes

  1. 1.

    Deliverable D6.3, D6.4, D6.6, D6.8 and D6.10 of BIMERR.

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Correspondence to Robert Woitsch .

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Woitsch, R. (2020). Industrial Digital Environments in Action: The OMiLAB Innovation Corner. In: Grabis, J., Bork, D. (eds) The Practice of Enterprise Modeling. PoEM 2020. Lecture Notes in Business Information Processing, vol 400. Springer, Cham. https://doi.org/10.1007/978-3-030-63479-7_2

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  • DOI: https://doi.org/10.1007/978-3-030-63479-7_2

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  • Online ISBN: 978-3-030-63479-7

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