Asmall fast-food restaurant is trying to model its lunchtime rush period. The restaurant opens at 11 A.M., and all customers wait in one line to have their orders filled by a single server. The...

Asmall fast-food restaurant is trying to model its lunchtime rush period. The restaurant opens at 11 A.M., and all customers wait in one line to have their orders filled by a single server. The arrival rate per hour varies considerably from one half-hour period to the next, as shown in Table 14.3. The restaurant can serve an average of 50 people per hour, and service times are assumed to be exponentially distributed. Management wants to approximate the probability distribution of customers in the store from 11 A.M. through 2 P.M.

Objective To approximate the time-varying distribution of customers during the threehour lunchtime rush perio