Automated production systems (aPS) comprise multi-disciplinary artefacts all closely interwoven with high complexity. In the current Industry 4.0 era, aPS are required to adapt to various and varying requirements from customers and environment which introduce additional complexity. Model-based engineering on the premise of metamodelling is regarded as a promising paradigm to handle this complexity to engineer aPS. Although various metamodels appear to solve problems in different viewpoints on systems, the absence of a core metamodel causes inconsistencies between the metamodels and hinders common understanding of the system and model reuse. In this paper, we analyse existing metamodels from different research groups and present inconsistencies among them explicitly which support the necessity of the core metamodel. Considering properties of aPS together with relevant standards, we introduce a set of criteria to understand the various aspects of the aPS metamodels as the first step towards the core metamodel followed by a demonstration of analyses on exemplary metamodels. Feasibility of creating a universal metamodel of aPS domain is discussed, and we claim the necessity of having a common understanding of core concepts of aPS to support the cross-disciplinary reuse of existing metamodels and, accordingly, the compatibility of the instalment and operation of components.
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Automated production systems (aPS) comprise multi-disciplinary artefacts all closely interwoven with high complexity. In the current Industry 4.0 era, aPS are required to adapt to various and varying requirements from customers and environment which introduce additional complexity. Model-based engineering on the premise of metamodelling is regarded as a promising paradigm to handle this complexity to engineer aPS. Although various metamodels appear to solve problems in different viewpoints on sy...
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