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The value of Digital Twins can only be realized if Digital Twins and their virtual environment contain the same data and resulting information as their corresponding Physical Twins and real-world environment. This means that the need for more extensive, faster, and richer sensing of the physical world will dramatically increase as valuable use cases proliferate. In addition, we will evolve from working in physical or virtual environments to integrating and working simultaneously in both environments. Dr. Grieves discusses his views on the opportunities and issues of this evolution.
A thorough review of production system digital twin literature and market with quantified results
“For a greener, more reliable, more secure energy future, the utility industry must make digital twins a ubiquitous part of everyday operations. But what does this mean and how does it look?”
A robust research paper focused on the question: “How does the digital twin concept support the realisation of an integrated, flexible and collaborative manufacturing environment as one of the goals projected by the fourth industrial revolution?”
This article outlines how making use of advanced connectivity to optimize oil & gas drilling and production throughput and improve maintenance and field operations could add up to $250 billion of value to the industry’s upstream operations by 2030.
This article outlines digital twin benefits with a case study of a company deploying warehouse automation software.
A case study from Xylem with quantified ROI from the implementation of Xylem smart wastewater technology for the City of South Bend, Indiana.
This paper seeks to outline a business case for interoperability as an enabler of business transformation - providing transparency, agility, productivity, experience and scalability.
The Digital Twin Capabilities Periodic Table (CPT) is an architecture and technology agnostic requirements definition framework. It is aimed at organizations who want to design, develop, deploy and operate digital twins based on use case capability requirements versus the features of technology solutions.