The technological advances brought about by industry 4.0, especially in the context of integration with cyber-physical systems and communication protocols, lead to support for the prediction of failures or errors that may be critical to the production process. In this context, the Digital Twin concept proves to be an important tool in industrial maintenance, improving the efficiency of predictive and prescriptive maintenance. This paper aims to present the barriers incident to the implementation of functional requirements in industrial maintenance. Such requirements play the role of supporting attributes that qualify the maintenance concept. From the perspective of existing frameworks and architectures in the literature, an analysis of the relationship between interoperability, functional maintenance requirements and the concept of Digital Twin is conducted. This analysis is carried out through multi criteria decision support methods, assisting in the identification of which functional requirements are most consistent with the digital twin concept and in the assessment of how difficult it is to implement each requirement.