Strona główna Virtual Twin Experiences

VIRTUAL TWIN EXPERIENCES

Going beyond digital twin technology

A virtual twin experience starts with designing a 3D model that represents the shape, dimensions and properties of a physical product or system. Simulations are run on that virtual model to explore how the product will behave when assembled, operated or subjected to a range of events.

The number of tests is limited only by imagination. Testing help optimize and validate the design, materials and production processes – and because this is all done virtually, it makes your entire lifecycle more sustainable.

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What are the benefits of virtual twin experience

The continuous cycle of information between the virtual and real worlds achieves a closed loop supporting the following benefits:

Virtual Twin Experience: Where Physical and Virtual Worlds unite like never before!

What are virtual twin experiences used for?

Virtual twin experiences are used to improve products sustainability in manufacturing industries, transform the life sciences and healthcare sector and optimize the built environment of cities.

Virtual twins are an immediate step forward on sustainability, and they improve companies’ financial performance. This makes virtual twins a win for all three facets of sustainability: environment, economy and society.

Florence Verzelen

Executive Vice President,
Industry, Marketing & Sustainability, Dassault Systèmes

Benefit from the convergence of the virtual and real worlds

Virtual Twin Experience is an executable virtual model of a physical system which brings in learning and experiences taken from the real world processes to update the digital twin model. Achieving this closed-loop capability is the full realization of benefits to be gained from the convergence of the Virtual and Real Worlds.

In today’s world, the manufacturing industry has grown to be global, dynamic and extremely competitive.

The time, effort and not to mention the cost of continuing to deliver high-quality products as well staying ahead of the competition can become too burdensome for manufacturers.

One way to get ahead is to implement a virtual twin – a virtual mirror of components in the manufacturing process. Virtual Twins allows companies to optimize their operations, build resilience, model, simulate and validate new manufacturing and operations processes. While avoiding costly and time-consuming physical implementation.

However, implementing a virtual twin requires, amongst other things, a deep understanding of the organization’s need, careful planning and the validation of a pilot before expanding it.

Grafika przedstawiająca hologramy maszyn na tle lini produkcyjnej

In today’s world, the manufacturing industry has grown to be global, dynamic and extremely competitive.

The time, effort and not to mention the cost of continuing to deliver high-quality products as well staying ahead of the competition can become too burdensome for manufacturers.

One way to get ahead is to implement a virtual twin – a virtual mirror of components in the manufacturing process. Virtual Twins allows companies to optimize their operations, build resilience, model, simulate and validate new manufacturing and operations processes. While avoiding costly and time-consuming physical implementation.

However, implementing a virtual twin requires, amongst other things, a deep understanding of the organization’s need, careful planning and the validation of a pilot before expanding it.

4 Steps to successful Virtual Twin Experience realization

A Virtual Twin Experience consists of four discrete components: collaboration, modeling, optimization and performance.

Collaboration is the process by which the different stakeholders in any organization gather to work out the needs, wants and goals of the overall project by leveraging lean principles.

Modeling is the starting point for digitalization. It is the rendering of physical systems (and often humans, too) to create an accurate representation of machines, processes and workflows. Accuracy here is essential, and it must be maintained throughout the life of the project.

Optimization is the payoff from the Virtual Twin Experience, the process where changes are tested, tried virtually and tested again to reduce production bottlenecks and improve efficiency. This is where planning changes become true “what if” experimentation, iterating many changes in real time, from equipment cycles to worker time and motion study.

Performance is the ultimate goal of the actual implementation of the new processes and procedures worked out in the virtual factory. With a successful Virtual Twin Experience, production changes are swift, trouble-free and downtime is minimized. Sensor-equipped equipment then feeds real-time data back to the twin to confirm outcomes and establish a new baseline for the next series of experiments and improvements.

Grafika przedstawiająca plan mikroprocesora Digital Twins

Collaboration is the process by which the different stakeholders in any organization gather to work out the needs, wants and goals of the overall project by leveraging lean principles.

Modeling is the starting point for digitalization. It is the rendering of physical systems (and often humans, too) to create an accurate representation of machines, processes and workflows. Accuracy here is essential, and it must be maintained throughout the life of the project.

Optimization is the payoff from the Virtual Twin Experience, the process where changes are tested, tried virtually and tested again to reduce production bottlenecks and improve efficiency. This is where planning changes become true “what if” experimentation, iterating many changes in real time, from equipment cycles to worker time and motion study.

Performance is the ultimate goal of the actual implementation of the new processes and procedures worked out in the virtual factory. With a successful Virtual Twin Experience, production changes are swift, trouble-free and downtime is minimized. Sensor-equipped equipment then feeds real-time data back to the twin to confirm outcomes and establish a new baseline for the next series of experiments and improvements.

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