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OMiLAB Innovation Corner

OMiLAB Innovation Corner - Innovation and Assessment Service

Consulting related to Business Consultancy in the context of IT & Computing Manufacturing

Provided by BOC Group 7 months, 1 week ago (last modified 7 months, 1 week ago); viewed 246 times and licensed 0 times

Scope:

BOC uses the OMiLAB Innovation Corner in combination with its modelling approaches (ADONIS, ADOIT, ADOGRC) to support customers during the digital transformation.

There are three abstraction layers of the industrial OMiLAB Innovation Corner at BOC.

We use the OMiLAB innovation corner – introduced above - in order to interlink the (a) business layer that is concerned with creating new business models, (b) the proof-of-concept layer that is concerned with engineering prototypes and (c) the conceptual modelling layer that is concerned with creating organisational models. The OMiLAB Innovation Corner [Woitsch, 2020] is based on the following principles: Business Layer, Conceptual Model Layer and Proof-of-Concept Layer.

The aforementioned layers can be mapped to the three phases of design thinking, “Ideate”, “Prototype”, and “Test” [Malamed], we explicitly consider that projects may focus only on one or two phases, that phases are visited in no particular order as well as that the phases are worked out in a sequence.

The ideation is supported with a creative environment, enabling co-creation of digital twinning scenarios. Tool like Scene2Model are provided for model-driven workshops.

The prototyping and making is supported with demonstration robots and a sensor farm, enabling to rapidly create “haptic prototypes” as a communication media.

The test and experimentation is supported with a full-fletched modelling environment that enables the simulation, analysis and assessment of different digital twin scenarios.

The modelling environment can be used to access the marketplace, hence items from the marketplace in form of ideas, success-stories, solutions, technologies or experts are provided during the workshop.

Approach:

IPR/Licenses
  • OMiLAB Innovation Corner Approach is open source provided by OMiLAB NPO at https://www.omilab.org.
  • ADOxx for academic purpose is open use and a set of model-based solutions are open source provided by BOC at https://www.adoxx.org.
  • The usage of the industrial OMiLAB Innovation Corner at BOC is a consulting service.
  • The modelling software used in the resulting digital twin are commercial licenses.


List of References

  • Woitsch R., Industrial Digital Environments in Action: The OMiLAB Innovation Corner, in Grabis J., Bork D. (Eds), The Practice of Enterprise Modelling, 13th IFIP Working Conference PoEM 2020, LNBIP 400, pp. 8-22, Springer 2020.
  • Osterwalder, Alexander; Pigneur, Yves; Clark, Tim (2010). Business Model Generation: A Handbook For Visionaries, Game Changers, and Challengers. Strategyzer series. Hoboken, NJ: John Wiley & Sons. ISBN 9780470876411
  • Sandkuhl, K., Fill, H. G., Hoppenbrouwers, S., Krogstie, J., Matthes, F., Opdahl, A., Schwabe, G., Uludag, Ö., & Winter, R. (2018). From expert discipline to common practice: A vision and research agenda for extending the reach of enterprise modeling. Business & Information Systems Engineering, 60(1), 69-80.
  • Techopedia, Rapid Prototyping, https://www.techopedia.com/definition/9093/rapid-prototyping, last access: 16.09.2020.
  • Malamed C., Learning Solutions, https://learningsolutionsmag.com/articles/a-designer-addresses-criticism-of-design-thinking, last access: 16.09.2020.
  • Frank, U., Strecker, S., Fettke, P., vom Brocke, J., Becker, J., Sinz, E.J.: The research field modeling business information systems. Bus. Inf. Syst. Eng. 6(1), 39–43 (2014).

Outcome:

Industrial Digital Environments in Action: The OMiLAB Innovation Corner

  • Tutorial: https://youtu.be/hR3f1kVvlqY
  • Industrial OMILAB in Vienna - Modelling of Intelligent Behaviour: https://www.omilab.org/activities/events/omilabday2020/material/3_Robert_Woitsch_Digital_Innovation-OMiLAB_Innovation_Corner_PUBLIC.pdf
Physical Experiment of a Paint Production Process within the EU Project Change2Twin
  • Docu: https://git.boc-group.eu/change2twin/graphenstone-virtual-lab/-/raw/master/DOC/OMiLAB%20Laboratory%20Experiment%20for%20Production%20Processes_03032021.pdf
  • Further content: https://adoxx.org/live/web/change2twin/downloads
  • Webinar on simulating event logs: https://youtu.be/JfuLN_Ao1Ro

Phases
phase symbol
Business Layer

Focus on Business Model Creation

A business model describes the “rational of how an organisation creates, delivers, and captures value” [Osterwalder et al., 2010]. The aim is to either improve existing or to generate new business models. This layer therefore provides a high-level overview of the domain, the application scenario as well as the overall eco-system of the organisation. It follows the “Outcome based approach” principle, where digital innovation is always justified by the outcome.

phase symbol
Conceptual Model Layer

Focus on Organisational Model

Conceptual models are successfully applied in enterprise modelling [Sandkuhl et al., 2018] and information systems [Frank et al., 2014] and hence capable to describe how the digital solution is applied within an organisation. The digital innovation is therefore described in a technology independent way using a knowledge-based approach. The knowledge can be interpreted by computer algorithms or by human experts, depending on its model-representation. Hence, we follow the principle to “Invest on use cases and not technology” as the organisational models can be realised with different technologies.

phase symbol
Proof-of-Concept Layer

Focus on Robot Interaction

Rapid prototyping [Techopedia] is “… the idea of quickly assembling a physical part, piece or model of a product“. We apply rapid prototyping for both the development of a software application as well as for the development of a physical device. The engineering of rapid prototypes is performed by configuring and integrating pre-packaged features that are provided as services. Instead of fully implementing the prototypes, we apply the “Fail Fast, fail cheap” principle by rapidly composing features in form of services that emulate the main behaviour of the intended solution.