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.
The Digital Twin Capabilities Periodic Table framework facilitate collaboration in multidisciplinary or fusion teams that need to create Digital Twins requirements specifications in large scale complex environments. The framework keeps the focus on the capability requirements of individual use cases, which can then be aggregated to determine the overall capability requirements digital twin platforms and other technology solutions that are required to address the specific business needs.
It follows a Period Table approach with capabilities grouped or “clustered” around common characteristics. It is easy to interpret at both the boardroom when explaining the business case to get funding for a Digital Twin project, and the shopfloor when gathering requirements for a Digital Twin application. It provides visual guidance for collaboration, brainstorming, and making capability requirements explicit. End users that are investigating Digital Twin technology to address business transformation and other digitalization needs often ask these three questions: • what is a digital twin? • why should I care? • how do I get started? Digital Twin Consortium’s definition of a digital twin provides a comprehensive answer to the first question. A digital twin is a virtual representation of real-world entities and processes, synchronized at a specified frequency and fidelity. • Digital twin systems transform business by accelerating holistic understanding, optimal decision-making, and effective action. • Digital twins use real-time and historical data to represent the past and present and simulate predicted futures. • Digital twins are motivated by outcomes, tailored to use cases, powered by integration, built on data, guided by domain knowledge, and implemented in IT/OT systems.