PiM: Optimal Parameter for Service Process

Kai Neumann

Model from perspective of factor Overall result

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This is just a small model to show how PROCESS iMODELER (PiM) factors can be included in quantitative models. In this case it is a service and the question how many resource are optimal in order to satisfy the customers without becoming too expensive. Thus the Number of Resources is modeled with a range() function.
This screenshot shows a filtered view without the parameters.

Model from perspective of factor Overall result

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Here you also see the parameters

Simulation results of factor Overall result

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After running the simulations you select the optimal result...

Simulation results of factor Number of Resources

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... to see which capacity of resources leads to the optimum.

Simulation results of factor Overall result

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