Computer Center - Case Study Example

Figure 2 shows the configuration of Input 1. The other two inputs are configured similarly with only difference of arrival times.Figure 2: Settings of InputsThe job readers have normal distribution, all the three having the mean of 3 seconds and standard deviation of one second. The configuration screen is shown in figure 3.Figure 3: configuration of job readers.The Print Spooler (CPU) is configured with exponential distribution with mean of two seconds as shown in figure 4.Figure 4: Print Spooler configurationThe Line printers are again configured with normal distribution having mean of 7 seconds and standard deviations 2.

1 seconds as shown in figure 5.Figure 5: Line Printer ConfigurationFinally, the configuration of the simulation is presented in figure 6. All the statistics have been selected except costing.Figure 6: Simulation configurationsOutput of SimulationThere is one precaution in the simulation. The maximum arrivals in all the three cases were set at 5000. Hence, by design the arrivals in input 2 would stop coming at 5000 whereas the other two will continue till their individual arrivals reach 5000 each (first Input 3 and then Input 1).

If the simulations are allowed to continue even if arrival of entities in Input has reached 5000, the system will be left with only two active inputs (and later on only one active input when arrival of entities in Input 3 reaches 5000 as well). This could have resulted in wrong calculations of the system. Hence, the author stopped the simulation as soon as Input 2 reached 5000 entities.Following are the results of the simulation:(A) Number of entities entered the system:Figure 7: No. of entities entered.

The inputs are configured as exponential with arrivals every 70 seconds for Input 1, every 15 seconds for Input 2 and every 35 seconds for Input 3. Figure 2 shows the configuration of Input 1. The other two inputs are configured similarly with only difference of arrival times. There is one precaution in the simulation. The maximum arrivals in all the three cases were set at 5000. Hence, by design the arrivals in input 2 would stop coming at 5000 whereas the other two will continue till their individual arrivals reach 5000 each (first Input 3 and then Input 1).

If the simulations are allowed to continue even if arrival of entities in Input has reached 5000, the system will be left with only two active inputs (and later on only one active input when arrival of entities in Input 3 reaches 5000 as well). This could have resulted in wrong calculations of the system. Hence, the author stopped the simulation as soon as Input 2 reached 5000 entities. There was no waiting time per entity because no queues were formed anywhere in the system: This appears obvious because the arrival intervals of entities are much higher than overall throughput of the system. (C) Average throughput time per entity: The average throughput time per entity (value addition time + transfer time) is presented in figure 9.