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Automation

Automation through Simulation

Using simulations, you can get an accurate understanding of how different choices and scenarios will lead to different outcomes. The natural next step is to take actions based on those insights.

Automation through simulation is the practice of directly controlling physical or digital processes from a simulation.

This is closely related to the idea of digital twins – using real time data sources to create high fidelity models of real world systems. In this case we extend the idea by driving real world actions from the simulations. For instance, in a digital twin of a warehouse, monitoring systems can use a simulation to assess the optimal schedule for a worker to pick and deliver boxes, and then these same systems can dispatch the worker to execute a picking operation. In essence, automation through simulation ‘closes the loop’.

Examples

  • Warehouse automation: As we discuss in our whitepaper on using HASH for warehouse picking operations, a simulation of a warehouse can optimize and automate running a warehouse by coordinating workers more efficiently and effectively.
  • Business operations: The day to day processes of a business can be simulated and directed by a model. Robotic process automation is an industry wide trend wherein business processes are defined and executed through these types of systems.
  • Trading strategies: Most high frequency trading operations work after this fashion – a model is constructed that reifies a strategy for trading stocks, and then trades are executed automatically in line with the strategy.

HASH can directly integrate with your data warehouses APIs to automate systems. Contact us to learn more.

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Automation through Simulation
Examples