Rapidly build digital twins with Simul8

A practical, cost-effective approach for day-to-day digital twin decision-making in your organization.

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Why use Simul8 to create a digital twin of your organization?

Digital twins are a hot topic. With roots in manufacturing, interest has exploded across almost every industry.

On paper, the prospect of real time monitoring and improved process efficiencies is exciting for businesses, but in reality, huge investment and ongoing upkeep are major barriers.

Digital twins don’t have to be out of reach. At Simul8, we’ve been enabling our users to build practical, accessible digital twins for 25 years with the power of simulation.

Digital twin impact at a fraction of the time.

Most organizations don’t actually need to build full-scale, complex digital twins from the get-go to have a huge impact. Simulation allows you to start by building a digital twin that is focused on understanding a specific problem you’re trying to solve. What is the simplest abstraction of your process that you can create a simulation of to answer your question?

Thanks to its drag and drop nature, you can build your first digital twin in a matter of hours with simulation. That’s often enough to answer the question and other times it acts as a guide to tell you where you really need to dig deeper and add detail. We see Simul8 users iterate this process by building small, simple conceptual simulations to answer their most critical questions rapidly.

Simulation allows you to start small and after achieving concrete results, you can scale up your digital twin to maximize the benefits!

Real world data in real-time.

A key element of digital twins is their ability to be constantly kept in sync so that they are representative of the live system. That is what allows them to be used as an operational decision-making tool.

For example, being used to decide tomorrow’s optimum production schedule, or ensuring patients are in the right bed to minimize waiting times and outliers. In both examples, the ability to run forward allows today’s decision to be made more effectively.

With SIMUL8, you can pull in data generated from sources such as ERP systems or production schedules to continually feed your simulations with live data and monitor its performance.

The power to ask ‘what if’ in minutes, not months.

Digital twins are designed to be used as operational decision-making tools. When a simulation tool is used to create a digital twin, the benefits of running scenarios and seeing how the system will perform going forward, or how the system would have played out had you made a different decision, brings a whole new level to the depth of understanding to your process as a whole.

Combining this with machine learning techniques will also help with decision-making from the simulation and give real insight into how things will play out in the future.

Game-changing insight - without the huge investment.

Digital twins require a high level of investment. Not just from the perspective of building out the technology and hardware needed, but also the ongoing maintenance and upkeep.

Although the Internet of Things (IoT) and other automated data collection devices have made incredible advancements in recent years, most organizations don’t yet have access to these devices. Even if they do, the data still needs to be tamed into manageable streams. Process mining and other AI techniques are also advancing, but again, they’re not readily accessible right now.

Simulation offers a faster, affordable approach to uncovering the same benefits and actionable insights of a traditional digital twin but at a fraction of the investment.

Case Studies

Find out how these organizations used Simul8 to transform decision-making

Fiat Chrysler
Meeting increased demand without additional costs

Fiat Chrysler improved manufacturing throughput by 39 units and increased revenue by $1,000,000 per day at its Brampton plant.

Memorial Health System
Ensuring the feasibility of investment and expansion

Memorial Health System improved patient waiting times and ensured the feasibility of a $31 million capital investment project.

Virginia DMV
Optimizing staffing to reduce customer wait times

Virginia DMV identified a staffing model to reduce customer waiting times to 20 minutes or less across 74 customer service centres.

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