In many cases, practical problems are mathematically so complex that they cannot be solved analytically (yet). In these cases event-driven stochastic simulation are used which allow to examine basically any stochastic issues. However, complex problems sometimes can lead to very long simulation times, which restricts the usefulness of the results, especially if the simulation has to be repeated in the context of optimizing many times.

Probabilities and probability distributions

Applications of Queueing Theory in Call Center Management


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