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23) Jane is running a tiny restaurant serving hot-pot buets. Customers help themselves cook the food in the boiling pot and eat as much as
23) Jane is running a tiny restaurant serving hot-pot buets. Customers help themselves cook the food in the boiling pot and eat as much as they can within 90 minutes. The timer starts when a (group of) customer gets a table and customers never leave early. Customers will leave right after their arrivals if they nd or expect that the};r cannot get a table in 60 minutes. Suppose customers can accurately expect their waiting time. There are now four tables. Jane wants to use Monte Carlo simulation to compare the current situation with a hypothetical situation wherein there are ve tables. She has used historical data to generate random customer arrivals for one night from 6 pm. to 10 p.111. as listed below. Index I Time Index I Time Index I Time Index I Time 1 I 06:00 6 I 06:37 11 I 08:12 16 I 08:59 2 I 06:05 7 I 06:58 12 I 08:21 17 I 09:06 3/06:08 8I0722 13I0833 18I09:18 4 I 06:19 9 I 07:41 14 I 08.39 19 I 0927 5 I 06:25 10 I 07:55 15 I 08:50 20 I 09:45 a) In the space provided below, write how you use the simulated arrivals (in the table above) 0 compute the average waiting time for customer who choose to stay, considering one night 'th 4 tables. (10 mints)
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