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Question
A waiting-line problem that cannot be modeled by standard distributions has been simulated. The table below shows the result of a Monte Carlo simulation. (Assume that the simulation began at 8:00 a.m. and there is only one server.) Why do you think this problem does not fit the standard distribution for waiting lines? Explain briefly how a Monte Carlo simulation might work where analytical models cannot.
| Customer Number | Arrival Time | Service Time | Service Ends |
| 1 | 8:05 | 2 | 8:07 |
| 2 | 8:06 | 10 | 8:17 |
| 3 | 8:10 | 15 | 8:32 |
| 4 | 8:20 | 12 | 8:44 |
| 5 | 8:30 | 4 | 8:48 |
Answer
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