The concept of a digital twin has gained significant attention in various industries, as it offers a virtual representation of a physical entity or system. However, not all digital twin models are created equal, and it is important to understand the characteristics of a good model. Current state models will need to be flexible to solve future problems, adaptable to simulate and predict potential future state scenarios and outcomes, and sustainable to ensure reusability for new problems that change with a variety of business conditions.
Topic: Reconsidering the standardization of DT applications: Evaluating the necessary level of flexibility in DT models.
Digital Twin (DT) applications have gained significant attention in recent years due to their potential to revolutionize various industries. However, the standardization of DT applications and the level of flexibility required in DT models have become topics of debate. This paper aims to reconsider the standardization of Digital Twin applications by evaluating the necessary level of flexibility in Digital Twin models. By examining the advantages and challenges associated with standardization and flexibility, this topic provides insights into the optimal approach for designing and implementing DT models.
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