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Unformatted text preview: Then, you have an M/M/s queuing model for each hour of the day. Specify the arrival rate, service rate, and number of servers for this model. What is the average waiting time and what is the probability that a patient waits more than 20 minutes? 4. Your scheduling recommendations. Can you propose a better schedule for the physicians? What happens if you place more emphasis on the patients having more personalized service? Suppose each patient is assigned to a small team of physicians, and can only be seen by a physician on that team. Will waiting times increase or decrease? More staffing at beginning of day and week A more personalized service will make patients be able to see their respective doctor/nurse on most days. They seem to prefer waiting less time than anything so with the new proposed schedule any day they come in the probability of waiting more than 20 minutes will be very BUAD311 Feng Chen low....
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This note was uploaded on 02/15/2011 for the course BUAD 311 at USC.