To conduct the experiment, follow these detailed steps sequentially:

1. Simulation Setup:

   • Begin by setting the parameters for the simulation:
     • Determine the mean arrival rate of customers.
     • Select the distribution for service times.
     • Specify the mean service rate.
     • Choose the number of servers for the M/G/c/N model.

2. Stability Check:

   • Ensure that the mean arrival rate is less than the product of the mean service rate and the number of servers. This condition is crucial for the existence of a steady-state solution in the system.

3. System Configuration:

   • Define the maximum number of customers that the system can accommodate.

4. Initiating the Experiment:

   • Click on the 'Start' button to commence the experiment. This action triggers the simulation process with the defined parameters.

5. Monitoring and Analysis:

   • As the experiment runs, monitor the system dynamics and performance metrics.
   • If desired, intervene by clicking the 'Stop' button to halt the experiment.

6. Result Analysis:

   • After stopping the experiment, examine the steady-state results both numerically and graphically.
   • Compare the theoretical predictions with the experimental outcomes to assess the accuracy and validity of the model.