Interoperability Assessment Model in Industrial Maintenance According to Digital Twin Concept Based on Multicriteria Decision Support Methods

Industry 4.0 (I4.0) refers to recent technological advances where the internet and supporting technologies serve as communication for integration between systems, thus raising the level of maturity of the company. This context is intrinsically linked to Industrial Maintenance, which is greatly impacted by the characteristic of distribution and volume of information imposed by the requirements of I4.0, suggesting a review those models and strategies for a more predictive characteristic based on reliability. In this direction, the Digital Twin (DT) concept emerges expressively, which encompasses functional and technological scopes associated with Industrial Maintenance. Based on these elements, a diagnostic evaluation can suggest Industrial Master Plans, allowing a clearer view of the elements involved, restrictions, risks and better application of resources. Under this focus, the interoperability assessment, a strong requirement of I4.0, represents a relevant diagnostic tool guiding both the requirements and specifications aimed at the integration of supervision and industrial maintenance platforms. The objective of this article is to present a diagnostic evaluation model of interoperability in maintenance, under the requirements of I4.0, through the use of multicriteria decision support methods (MCDM) and to provide an evaluative and directional basis to implement the DT concept.