Optimizing Business Process Perfomance

After a simulation model has been developed to represent an existing or proposed business process, one might want to find the configuration that is best (according to some performance measure) among a set of possible choices. For simple processes, finding the best configuration might be easy. In the queuing example in Section 7.2 in Chapter 7, the system can be simulated with one underwriting team, and measures of performance (e.g., percentage of requests that wait for more than 10 minutes) can be calculated. Then the simulation can be run again with two underwriting teams, and the new values can be calculated. Finally, a decision about the optimal number of underwriting teams can be made by ...

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