In the era of digital transformation in the industry, the increasing adoption of Cyber-Physical Systems (CPS) and Digital Twins (DT) is transforming traditional approaches, enabling the creation of virtual representations of the physical world. Supply Chain Management (SCM) stands out as a promising area for the application of these innovative technologies, although its implementation is challenging, requiring detailed evaluative approaches. Multicriteria Decision Analysis (MCDA) emerge as a promising approach to deal with the complexities involved in decision-making processes, considering both objective and subjective criteria. This work, focused on Industry 4.0 (I4.0), aims to develop an evaluation model for the implementation of the DT concept in SCM, with an emphasis on Enterprise Interoperability (EI) perspectives as a lens on challenges and barriers. Analyzing scientific and gray literature, project reports, and drawing on collaborative interactions, the research encompasses the relationship between I4.0 reference architectures and DT models, considering the perspective of interoperability to comprehend the implementability of the DT concept in the SC under SCOR model dimensions. The MCDA PROMETHEE II method is employed for the assessment dimensions. The project provides a diagnostic perspective that highlights the integration between EI, DT, and the Reference Architecture Model Industrie 4.0 (RAMI 4.0) model to optimize Supply Chain (SC) in I4.0. The MCDA approach facilitates strategic decision-making, addressing dynamic challenges and seeking operational efficiency in SCM.