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Interoperability
Published in Vivek Kale, Digital Transformation of Enterprise Architecture, 2019
Model Driven Interoperability (MDI) starts at the highest level of abstraction and derives solutions from successive transformations, instead of solving the interoperability at the code level. It is supported through the extensive use of models for both horizontal and vertical integration of the multiple abstraction levels, therefore bringing the advantage of legacy systems integration and facilitates the construction of new interoperable software/services. The integration of existing legacy systems is performed horizontally at the different model abstraction levels, while vertical transformations facilitate the construction of new software/services assuring that these become immediately interoperable with others built according to the same paradigm and with the same conceptual models.
Universal manufacturing: enablers, properties, and models
Published in International Journal of Production Research, 2022
The literature reviewed in this section illustrates the developments in enterprise interoperability. Ducq, Chen, and Vallespir (2004) addressed requirements for a unified enterprise modelling language. A methodology for the collection of requirements and attributes for their assessment was described. Doumeingts et al. (2000) discussed the evolution of software in production management. The use of GRAI methodology in the implementation of enterprise software was emphasised. The issues related to interoperability in an enterprise were addressed with system modelling and architecting approaches in Zacharewicz et al. (2020). A model-driven system engineering architecture versed in GRAI was introduced. Application of the model-driven interoperability system engineering framework in cyber-physical systems was suggested. Varnadat (2010) presented technical, semantic, and organisational aspects of enterprise interoperability and networking and addressed open research issues in the context of the European Interoperability Framework. The need to consider trust, confidentiality, legal aspects, and cybersecurity was emphasised. A Domain-Specific Language (DSL) supporting engineering interoperability was discussed in Weichhart, Guédria, and Naudet (2016). The authors extended the ontology of enterprise interoperability based on the theory of complex adaptive systems. Panetto et al. (2016) summarised research challenges in interoperability of enterprise systems in context-aware systems, semantic interoperability, assessment of interoperability, cyber-physical systems, and cloud-based systems. The use of modelling methodologies in support of organisational interoperability of enterprises was addressed in Blanc-Serrier, Ducq, and Vallespir (2018). The level of interoperability was assessed based on the developed graph model. Jardim-Goncalves, Grilo, and Popplewell (2016) reviewed strategies for interoperability of global manufacturing and grouped them into four categories: sensing manufacturing enterprise, semantics and knowledge management, service orientation, and business aspects. A two-phase approach for semantic interoperability of enterprises involved in a collaborative product development was presented in Khalfallah et al. (2016). The OWL (web ontology language) was selected to ensure syntactic interoperability. Semantic interoperability was addressed with a reference ontology. A cloud-based platform was established to support the collaborating enterprises.