Instantly gather valuable insight into the real-world performance of products and processes to improve operational resiliency, reduce costs and gaining in competitive advantage with cloud based manufacturing solutions.
Virtual Twin Experience on the cloud 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
Improve decision making
Reduce travel cost
Share best practices
Provide spatial context
Manage safe distancing
Re-optimise new workflows
Shorten time to market
Simulation ensures that everything will function correctly prior to physical installation. It also enhances our service offering because we can propose larger and more complex installations
CenterLine (Windsor) Limited needed to improve its robotics manufacturing processes methodology by implementing standard, collaborative single-source-of-truth technology to provide its customers with on-time, on-budget and efficient solutions.
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 the 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.
Digital twins—virtual clones of real objects—may be able to reveal valuable insight into the real-world performance of products and processes. However, it depends on who you ask.
Multidisciplinary capabilities enable designers to progressively enhance their model with additional facets, going further than just geometry and part design, embedding system characteristics of the product into the model. This is commonly called Model-based systems engineering (MBSE). Through simulation of several types of realistic behaviors, the model becomes a virtual “asset” using advanced functional and physical modeling.
By integrating all data on one platform, Virtual Twin Experience allows manufacturers to analyze information within its complete context and create accurate virtual models for experimentation.
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See how Virtual Twin Experience on the cloud can transform your business.