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Unit 7: Simulation of Queuing System (I)



            3.   “Discrete-event technique has been widely used in the simulation of communication and  Notes
                 transportation systems.” Comment.
            4.   Do you think Queuing Theory provides all the tools needed for this analysis?
            5.   Simulation is the experimental laboratory for testing modifications in a productive system
                 through the use of mathematical models. Give reasons.
            6.   Describe four specific models as valuable POM applications.
            7.   “The queuing system is the most typical problem in the discrete event system.” Explain.

            8.   Discuss the main conceptions in the Queuing System.
            9.   Simulating the model with event step-length method. Discuss.
            10.  Why queuing theory is a science to solve the problem?

            Answers: Self  Assessment

            1.   queuing system                    2.   static

            3.   single-channel                    4.   existing
            5.   timestamp                         6.   congestion
            7.   mathematical                      8.   Model Building
            9.   Evaluate                          10.  queuing  problem

            11.  minitype                          12.  random
            13.  batch                             14.  waiting time
            15.  queuing regulation

            7.8 Further Readings




             Books      Balci, O.,(1994), Validation, verification, and testing techniques throughout the
                        life cycle of a simulation study, Annals of Operations Research, 53: 121–173.
                        Balci, O., (2001), A methodology for certification of modelling and simulation
                        applications, ACM Transactions on Modelling and Computer Simulation, 11:
                        352–377.
                        Birta, L.G. and Ozmizrak, N.F., (1996),  A knowledge-based approach for  the
                        validation of simulation models: The foundation, ACM Transactions on Modelling
                        and Computer Simulation, 6: 67–98.
                        Boehm, B.W., (1979), Software engineering: R&D trends and defense needs, in: P.
                        Wegner  (Ed.), Research  Directions in  Software Technology,  MIT Press, and
                        Cambridge, MA.
                        Cellier,  F.E.,  (1986),  Combined  discrete/continuous  system  simulation  –
                        application, techniques and tools, in Proceedings of the 1986 Winter Simulation
                        Conference.
                        Department of Defense (DoD) Recommended Practices Guide (RPG) for Modelling
                        and Simulation VV&A, Millennium Edition (available at http://vva.dmso.mil).





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