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Discrete-event simulation (DES) is a way of modelling complex systems by focusing on specific events that happen at particular points in time. Rather than tracking everything continuously, it jumps from one event to the next - like a customer joining a queue, a machine breaking down, or a shipment being dispatched.
Each event changes the system in some way, and the simulation moves forward accordingly. This makes DES perfect for systems where things happen in bursts rather than steadily, such as production lines, transport networks, or service operations.
What's great about DES is that it lets you safely experiment with "what if" scenarios. Want to see how adding another checkout lane affects waiting times or how tweaking factory layouts might speed things up? DES gives you a virtual testbed for those ideas, without the cost or risk of trying them in real life.
It's a brilliant tool for uncovering bottlenecks, optimising systems, testing scenarios and ultimately making better decisions. It is an essential tool in industries ranging from manufacturing, to healthcare, to transportation and beyond. Learning to implement DES with versatile tools like Python and SimPy, as you'll see in this masterclass, empowers you to build these powerful models without being tied to expensive, rigid software licenses.