Hence, we have to use a hypothetical system based on assumptions. Therefore, there is no historical data available to compare its performance with. Validating the First Time ModelĬonsider we have to describe a proposed system which doesn’t exist at the present nor has existed in the past. Some of the statistical tests are chi-square test, Kolmogorov-Smirnov test, Cramer-von Mises test, and the Moments test. it can be compared using statistical tests and hypothesis testing. This process of validation is straightforward, however, it may present some difficulties when carried out, such as if the output is to be compared to average length, waiting time, idle time, etc. In this approach, we use real-world inputs of the model to compare its output with that of the real-world inputs of the real system. Following are the two approaches to perform this comparison. Statistical method can be used for compare the model output with the real system output.Īfter model development, we have to perform comparison of its output data with real system data. It presents the data in the system format, which can be explained by experts only. This can be achieved using the following steps −ĭetermine how close is the simulation output with the real system output.Ĭomparison can be performed using the Turing Test. Step 3 − Determine the representative output of the Simulation model. Sensitive analysis can also be performed to observe the effect of change in the result when significant changes are made in the input data. This can be achieved by applying the assumption data into the model and testing it quantitatively. Step 2 − Test the model at assumptions data.
#How to make a sim tab in vce designer verification#
Following are some of the common techniques − Techniques to Perform Verification of Simulation Modelįollowing are the ways to perform verification of simulation model −īy using programming skills to write and debug the program in sub-programs.īy using “Structured Walk-through” policy in which more than one person is to read the program.īy tracing the intermediate results and comparing them with observed outcomes.īy checking the simulation model output using various input combinations.īy comparing final simulation result with analytic results. There are various techniques used to perform Verification & Validation of Simulation Model. In this process, we have to compare the model’s implementation and its associated data with the developer's conceptual description and specifications. Verification is the process of comparing two or more results to ensure its accuracy. If the comparison is true, then it is valid, else invalid. In this process, we need to compare the representation of a conceptual model to the real system. Validation is the process of comparing two results. Validation and verification are the two steps in any simulation project to validate a model. The simulation model is valid only if the model is an accurate representation of the actual system, else it is invalid. One of the real problems that the simulation analyst faces is to validate the model.
0 kommentar(er)
