In: Math
Both techniques has different-different uses according to the requirement we need, such as in business
Simulation- when we need some upper overview of the situation(or an idea) or we can say that simulating the real situation that how effective is our model.
Ex- A company is wants to launch its product in a particular area but the company wants a brief idea that its product would be successful or not in that area, so it created a simulating model to know about the purchasing power of the customers live in that area, so that it can estimate the risks and simulate that how's the company's business gonna perform in that area.
Queuing modeling- we require queuing modeling for single or multiple channels, when we have started our business now provide better services by reducing the service time and improve the efficiency to serve the customers.
Ex- In a burger store, owner sees that there's a que form at the peak hours of the sale(afternoon timing) he wants to improve his services so that his business could handle more customers so uses queuing theory model to know what is the average service time and arrival time of the customers and on behalf of that he takes decision to hire part time staff or anything else which can improve his services.