Page 296 - Schaum's Outlines - Probability, Random Variables And Random Processes
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CHAP. 91                         QUEUEING  THEORY                                 289



              (b)  Suppose that the arrival rate of the customers increases 10 percent. Find the corresponding
                  changes in L, W, and W,.
              (a)  The watch repair shop service can be modeled as an M/M/1  queueing system with 1 = &, p = 4. Thus,
                  from Eqs. (9.1  5), (9.1 6), and (9.43), we have



                                                1
                                          w=-=--       1   - 40 minutes
                                              -  A   Q-iij
                                          W,  = W - W, = 40 - 8 = 32 minutes
              (b)  Now 1 = 4,  p = g. Then



                                               1
                                          w=-     --=  1   72 minutes
                                                  -
                                              p-a  +-g
                                         W, = W - W, = 72 - 8 = 64 minutes
                  It can be seen that an increase of  10 percent in the customer arrival rate doubles the average number
                  of customers in the system. The average time a customer spends in queue is also doubled.


        9.8.   A drive-in banking service is modeled as an M/M/1  queueing system with customer arrival rate
              of 2 per minute. It is desired to have fewer than 5 customers line up 99 percent of  the time. How
              fast should the service rate be?
                  From Eq. (9.14),
                                                         a,    a,                 1
                         P(5 or more customers in the system} = C pn = C (1 - p)pn = p5   p = -
                                                        n=5   n=5                 P
              In order to have fewer than 5 customers line up 99 percent of the time, we require that this probability be
              less than 0.01. Thus,




              from which we obtain



              Thus, to meet the requirements, the average service rate must be at least 5.024 customers per minute.


         9.9.   People arrive at a telephone booth according to a Poisson  process at an average rate of  12 per
              hour, and the average time for each call is an exponential r.v. with mean 2 minutes.
              (a)  What is the probability that an arriving customer will find the telephone booth occupied?
              (b)  It is the policy of  the telephone company to install additional booths if  customers wait  an
                  average of  3 or more minutes for the phone. Find the average arrival rate needed to justify a
                  second booth.

              (a)  The telephone  service can  be  modeled  as an  M/M/1  queueing system  with  1 = 4,  p = 3,  and  p =
                  1/p = 5. The probability that an arriving customer will find the telephone occupied is P(L > 0),  where
                  L is the average number of customers in the system. Thus, from Eq. (9.1 3),
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