5.3 Description of the M&S Approach
99
Figure 5.4 Example visualization of a production flow in AnyLogic
The number of parameters and data to be collected for model building is highly
dependent on the model purpose and defined investigation targets. The more realworld data is included in the model, the more precise are the simulation results.
Following the VDI standard 3633 for production simulation, the required simulation input data for the material flow simulation is divided into system load,
organizational and technical data [VD2014a, p. 33].
Figure 5.5 Production flow and planning parameters. Adapted from [VD2014a, p. 34]
Figure 5.5 contains a list of the most important material flow parameters that
should ideally be used to fully map a production flow.
Using the abovementioned parameters, a realistic image of the production in
the production flow component can be created (Figure 5.6).
99
Figure 5.4 Example visualization of a production flow in AnyLogic
The number of parameters and data to be collected for model building is highly
dependent on the model purpose and defined investigation targets. The more realworld data is included in the model, the more precise are the simulation results.
Following the VDI standard 3633 for production simulation, the required simulation input data for the material flow simulation is divided into system load,
organizational and technical data [VD2014a, p. 33].
Figure 5.5 Production flow and planning parameters. Adapted from [VD2014a, p. 34]
Figure 5.5 contains a list of the most important material flow parameters that
should ideally be used to fully map a production flow.
Using the abovementioned parameters, a realistic image of the production in
the production flow component can be created (Figure 5.6).