Digital Twins have predominantly been applied to predictive maintenance of high value, low downtime assets. However, realising their full benefit as part of the product development process remains unclear. The main challenge for simulation teams is not creating good models, but the establishment of a new workflow that can make use of connected product data. Indeed, creating a compelling case for a product to be connected in the first place, and provide meaningful data, can be a major hurdle. To overcome these challenges, a proof of concept is initially required to clearly demonstrate benefit to the business, and ultimately the customer. Simulation and product development teams are well placed to deliver this proof of concept and create a compelling business case for the deployment of a connected product, that leverages the full potential of a Digital Twin. This presentation will take a practical look at how a Digital Twin proof of concept is being used to accelerate development of a next generation product and significantly reduce time to market. Aimed at the beginner, we will look at: - How a Digital Twin differs from just a simulation? - Establishing a proof of concept. How to demonstrate the benefits of a Digital Twin Workflow? - What are the challenges and practical tips for getting started? - What additional skills do simulation teams need to build in order to fully leverage a Digital Twin workflow? Digital Twins offer the opportunity for a complete paradigm shift in how businesses interface with and bring products and services to customers. We will explore the vision for how a Digital Twin Workflow can change how businesses interface with customers, differentiate product and service offerings. Overall, this presentation offers a guide to those who wish to realise the full potential of a Digital Twin workflow.
Reference | NWC21-560-c |
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Author | Stretton. C |
Language | English |
Type | Presentation Recording |
Date | 26th October 2021 |
Organisation | Dyson |
Region | Global |
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