Abstract
Future complex products will be different from existing ones in several relevant ways. They will be more intelligent and connected and they will have to be greatly leaner across software and hardware in order to handle safety, security and resource demand. Industrial Internet, Industry 4.0 and Internet of Things will greatly shift responsibility for products away from engineering departments towards the actual environment in which the products are employed. This situation will eventually transform the most tested companies into intelligent building platforms where the responsibility for designing, producing and delivering will be distributed among market parties in unrecognizable ways. The benefits of these upcoming changes will be higher utility of products for customers and new levels of production flexibility and efficiency. However, this new environment can only be attained if developmental and operational platforms and embedded products can rely on reusing the explicit knowledge used in their designs. The provision of technology for this new environment goes far beyond asking for tools interoperability. In this chapter a conceptual layer of interoperability is outlined describing what kind of features a powerful new interoperability technology should support in order to fuel desired changes in engineering and production paradigms.
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Critical Systems Engineering Acceleration Project of ARTEMIS JU, http://www.crystalartemis.eu/.
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We are using the term instantiation and mean by it any kind of virtual or physical production or reproduction.
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Acknowledgements
The research leading to these results has received funding from the ARTEMIS Joint Undertaking under grant agreement N 332830-CRYSTAL (CRitical sYSTem engineering AcceLeration project) and from specific national programs and/or funding authorities. This work has been supported by the Spanish Ministry of Industry.
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Lodwich, A., María Alvarez-Rodríguez, J. (2017). Beyond Interoperability in the Systems. In: Alor-Hernández, G., Valencia-García, R. (eds) Current Trends on Knowledge-Based Systems. Intelligent Systems Reference Library, vol 120. Springer, Cham. https://doi.org/10.1007/978-3-319-51905-0_8
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