To improve your company’s performance and efficiency, you’ve tried simulation and even built a simulation-based digital twin of your business. For some, this might be enough.
But what if you have numerous business units, such as factories or fulfillment centers, scattered across a country? And what if you want them all to be digital twins that initialize themselves on real-time data from real systems and can explore future scenarios?
And most importantly...what if you want them all connected into one application for operations management?
Traditional simulations usually stay at the strategic or tactical level and rarely work as operational Decision Support Systems. These “old-school” models are mostly used for planning and are only used to run some tests and make reports for management.
Digital twins, simulation-based models of real processes, are used more in day-to-day operations. They continuously help the organization monitor its operations, analyze them, and make forecasts. Combined, they form Enterprise Simulation.
Enterprise Simulation for next-level digital transformation
As an integral part of the digital transformation process, and eventually a Digital Enterprise, Enterprise Simulation is a set of deployed (and probably interconnected) simulation-based digital twins. It is designed to be used at the operational level and is accessible to numerous stakeholders across the organization.
Such simulation-based digital twins are triggered at specific times and initialized based on real-time data from a physical system. After the initialization, you can run experiments with them to explore future scenarios and then use the results to support your business decisions in the real world.