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Pseudo-code for chemical SC simulation model

To evaluate the performance of a simulation run, the flow and stock matrices are returned by the model. These matrices can be used to calculate a desired number of performance measures (e.g. the number of dispatched trains, average stock levels, etc.). These depend on the purpose of the study. It has to be noted that each simulation run is a stochastic experiment. Hence, multiple replications are necessary to evaluate the performance of a certain SC configuration properly. [Pg.167]

Verification and validation are instruments to ensure the quality of modelling. Verification particularly focuses on the technical aspect ensuring that the programmed model behaves as intended.Validation focuses on the accuracy of the final simulation model which should reflect the behaviour of the corresponding real-world system sufficiently precisely. The verification and validation process (V V process) intends to establish confidence of the managers in the developed simulation model such that the final simulation model can be used for resolving the system s initial deficiencies efficiently. [Pg.167]

In the V V process, various techniques are available relying on the comparison of a [Pg.167]

The criteria used for V V can be qualitative or quantitative. Qualitative criteria involve a subjective assessment on the logic or similarity of the tested model. In contrast, quantitative criteria measure the similarity or consistency by a numerical comparison of a reference value from the reference system with a (calculated) test value obtained from the tested model.i Table 4.8 shows examples of V V techniques according to the categorization criteria discussed. [Pg.168]

quantitative extreme value test statistical techniques [Pg.168]


Table 4.7 Pseudo-code for chemical SC simulation model... Table 4.7 Pseudo-code for chemical SC simulation model...



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