Question: A waiting line problem (queuing), that cannot be modeled by standard distributions, has been simulated. The table below shows the result of a Monte Carlo
A waiting line problem (queuing), 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. Round to the nearest minutes).
| Customer number | Arrival Time | Service Time | time for service start | Waiting time for service start | Service Ends |
| 1 | 8:00:00 | 0:02:00 | |||
| 2 | 8:06:00 | 0:10:00 | |||
| 3 | 8:10:00 | 0:15:00 | |||
| 4 | 8:20:00 | 0:11:00 | |||
| 5 | 8:30:00 | 0:05:00 |
| Cumulated Waiting time for customers | Waiting time for clerk (who is late for 5 minutes). | Cumulated Waiting time for clerk | Total time for each customer (waiting + serving) |
| 0:05:00 | |||
| 0:00:00 | |||
| 0:00:00 | |||
| 0:00:00 | |||
| 0:00:00 |
Please use the work sheet in module 1 and develop an excel spread sheet solution.
Group of answer choices
total customer waiting time for service is 0:38:00
average customer waiting time for service is not 0:07:36
total customers' waiting time in the system is 121
average customer waiting in the system is 0:16:12
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