Q.2. Consider a bank with five tellers and one queue, which opens its doors at 9...
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Q.2. Consider a bank with five tellers and one queue, which opens its doors at 9 A.M. closes its doors at 5 P.M., but stays open until all customers in the bank at 5 P.M. have been served. Assume that customers arrive in accordance with a Poisson process at rate 1 per minute (i.e., IID exponential interarrival times with mean 1 minute), that service times are IID exponential random variable with mean 4 minutes, and that customers are served in a FIFO manner. Table below shows several typical output statistics from 10 independent replications of a simulation of the bank, assuming that no customers are present initially. Note that results from various replications can be quite different. Thus, one run clearly does not produce the answers". a) Obtain a point estimate and approximate 90 percent confidence interval for the expected average delay of a customer over a day. (20-Mark) b) Obtain a point estimate and an approximate 90 percent confidence interval for the expected proportion of customers with a delay less than 5 minutes over a day, which is given by (10-Mark) For i=1,2,.., N. Replication 1 2 3 4 5 6 7 8 9 10 Number served 484 475 484 483 455 461 451 486 502 475 E(X)=E= 1,(0,5) = N Σ1 (0,5) N 0, Results for 10 independent replications of the bank model Average delay in queue (minutes) Finished Time (hours) 8.12 8.14 8.19 8.03 8.03 8.32 8.09 8.19 8.15 8.24 if D≤5 otherwise 1.53 1.66 1.24 2.34 2.00 1.69 2.69 2.86 1.70 2.60 Proportion of Average queue customers delayed length 1.52 1.62 1.23 2.34 1.89 1.56 2.50 2.83 1.74 2.50 < 5 minutes 0.917 0.916 0.952 0.822 0.840 0.866 0.783 0.782 0.873 0.779 Q.2. Consider a bank with five tellers and one queue, which opens its doors at 9 A.M. closes its doors at 5 P.M., but stays open until all customers in the bank at 5 P.M. have been served. Assume that customers arrive in accordance with a Poisson process at rate 1 per minute (i.e., IID exponential interarrival times with mean 1 minute), that service times are IID exponential random variable with mean 4 minutes, and that customers are served in a FIFO manner. Table below shows several typical output statistics from 10 independent replications of a simulation of the bank, assuming that no customers are present initially. Note that results from various replications can be quite different. Thus, one run clearly does not produce the answers". a) Obtain a point estimate and approximate 90 percent confidence interval for the expected average delay of a customer over a day. (20-Mark) b) Obtain a point estimate and an approximate 90 percent confidence interval for the expected proportion of customers with a delay less than 5 minutes over a day, which is given by (10-Mark) For i=1,2,.., N. Replication 1 2 3 4 5 6 7 8 9 10 Number served 484 475 484 483 455 461 451 486 502 475 E(X)=E= 1,(0,5) = N Σ1 (0,5) N 0, Results for 10 independent replications of the bank model Average delay in queue (minutes) Finished Time (hours) 8.12 8.14 8.19 8.03 8.03 8.32 8.09 8.19 8.15 8.24 if D≤5 otherwise 1.53 1.66 1.24 2.34 2.00 1.69 2.69 2.86 1.70 2.60 Proportion of Average queue customers delayed length 1.52 1.62 1.23 2.34 1.89 1.56 2.50 2.83 1.74 2.50 < 5 minutes 0.917 0.916 0.952 0.822 0.840 0.866 0.783 0.782 0.873 0.779
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ANSWER a To obtain a point estimate and an approximate 90 percent confidence interval for the expected average delay of a customer over a day we can use the data provided in the table The average dela... View the full answer
Related Book For
Introduction to Operations Research
ISBN: 978-1259162985
10th edition
Authors: Frederick S. Hillier, Gerald J. Lieberman
Posted Date:
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