In Exercise 4-1, suppose that 7% of arriving customers are classif ed just after their arrival as

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In Exercise 4-1, suppose that 7% of arriving customers are classif ed just after their arrival as being frequent f iers. Run your simulation for f ve replications (5 days). Assume all times are the same as before, and observe statistics on the average time in system by customer type (frequent f iers and non-frequent f iers) under each of the following scenarios:

(a) Assign four of the current agents to serve non-frequent f iers only and the f fth to serve frequent f iers only.

(b) Change your model from part

(a) so that the frequent-f ier agent can serve regular customers when there are no frequent f iers waiting in queue.

(c) Change your model so that any agent can serve any customer, but priority is always given to frequent f iers. Which of the three scenarios do you think is “best” for the frequent f iers? How about for the 93% of customers who are non-frequent f iers? Viewing this as a terminating simulation, address these comparison questions in a statistically valid way.

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Simulation With Arena

ISBN: 9780073401317

6th Edition

Authors: W. David Kelton, Randall Sadowski, Nancy Zupick

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