Robustness of Queueing Models |
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Page 23
... simulation model and design the experiment for simulation . This is presented in section 3 . In answer to the second question , we must investigate the relationship between the amplitude of variation P and the Probability of type I ...
... simulation model and design the experiment for simulation . This is presented in section 3 . In answer to the second question , we must investigate the relationship between the amplitude of variation P and the Probability of type I ...
Page 25
Virendra Sharad Sherlekar. 3 . Formulating and Implementing the Simulation Model In order to develop a simulation model for this queueing system , 1 ) we have to express the system in terms of individual elements , 2 ) the behavior of ...
Virendra Sharad Sherlekar. 3 . Formulating and Implementing the Simulation Model In order to develop a simulation model for this queueing system , 1 ) we have to express the system in terms of individual elements , 2 ) the behavior of ...
Page 28
... simulation . This is given along with the main simulation pro- gram in Appendix B. 3.1.2 Generation of Service Times ... model As shown in fig . 7 , there are two components of this queueing model , 1 ) Simulation of single server or ...
... simulation . This is given along with the main simulation pro- gram in Appendix B. 3.1.2 Generation of Service Times ... model As shown in fig . 7 , there are two components of this queueing model , 1 ) Simulation of single server or ...
Common terms and phrases
according activity amplitude Appendix arrival process assume assumption average BEGIN BUSY calculate called chosen Compute constant cost curve cost ratio CTIME Cw/Cs described desired distributed divided elements estimate expected experimental conditions F-Test FALSE follows FORMAT function given graph higher homogeneous Poisson process hour increased independent interarrival interval mean arrival rate mean waiting measure method number of servers number of units observations obtain occur optimum decision OPTIMUM SERVERS optimum solution PRINT probability distribution Probability of type procedure Program proportion QLENGTH question queueing model queueing system random numbers REAL represents robustness sample segments Selection SERTIME shift period shown in fig shows significant at 0.10 simulation starting values Statistical TABLE TIDT TRUE TVC/Cs type I error unit values variance variation violation waiting WRITE WRITE(PUNCH