Best Practices: Implementing Industrial Digital Twins
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Executive Summary
The last two years have seen a large number of organizations announcing digital twin projects for their industrial facilities. The need for digital, remote and resilient operations has been further emphasized by the COVID-19 crisis. In this report, we provide corporate executives and digital twin software buyers at industrial organizations with an overview of the best practices for implementing industrial digital twins. To capture best practice insights, Verdantix conducted in-depth interviews with digital twin experts at technology suppliers, service providers and industrial organizations, as well as surveying 259 senior executives in operations, maintenance, engineering and process safety roles. To achieve success with digital twin projects, our research finds that organizations should develop a blended success programme spanning five core aspects: (1) people, (2) data, (3) hardware, (4) connectivity and (5) security.
Table of contents
Success In Digital Twin Projects Relies On Clearly Defining Achievable Objectives
Shiny Ball Syndrome Can Derail Digital Twin Projects
Digital Twin Expectations Should Tango With Current Digital Maturity
Five Dimensions To Consider When Implementing Digital Twins
Success Starts With People And Culture
Implementations Will Fail Without A Robust Data Strategy
Hard Questions On Hardware, Connectivity And Security Must Be Answered
Table of figures
Figure 1. Factors Holding Back Investment In Digital Twin ProjectsFigure 2. Functionalities Required For Each Digital Twin Sophistication Level
Figure 3. Digital Twin Use Cases Along The Project Life Cycle
Figure 4. Framework For Developing and Implementing A Digital Twin
Figure 5. Solution Recommendations To Five Core Challenges During Implementation Of Digital Twin Projects
Organisations mentioned
ABB, Accenture, Ada Mode, Aker BP, ANSYS, AnyLogic, Arcadis, AspenTech, Autodesk, AVEVA, Bentley Systems, C3.ai, Capgemini, Cognite, COMSOL, Cosmo Tech, Deloitte, Duke Energy, Everbridge, Flutura, FutureOn, GE Digital, Hexagon, McDermott, Microsoft, Process Systems Enterprise (PSE), Schlumberger, Senseye, Shell, Sphera, Wipro, WoodAbout the authors
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