dc.description.abstract | Banks play signi cant roles in a country's economy. For this reason
many studies have been done on the management and general organization
of banks. One such area is on queue management. It is common practice to
see long queues of customers waiting to be served within the banking halls.
Customers arrive at banking facilities randomly. Moreover, service time is
also a random phenomenon. Currently, many institutions are moving away
from single queue single server model to single queue-multiple servers model,
Presumably, because the waiting time in the latter model is lower but is this
always the case? In our study we compared single queue single server to
single queue multiple server: A case study of Post Bank Kisumu and Kenya
Commercial Bank Kisumu. In both models we have assumed that the arrival
times follow a Poisson process while service times follow an exponential distribution.
Our main parameter of interest is the waiting time.We have used
M=M=1 and M=M=r to study the two models and determine the preferable
model for any speci c situation. In our study we found that although the
average waiting time in Post Bank is greater than that in the Kenya Commercial
Bank, the equivalence of the KCB average waiting time to the Post
Bank is higher. Further, the di erence between the means in the waiting
times in the two banks is signi cant at 5% signi cance level. | en_US |