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Simulation and Modelling
Notes 3. “PERT to include both random activity durations and project cost considerations.”
Comment.
4. Did you think Computer simulation was developed hand-in-hand with the rapid growth
of the computer? Explain.
5. Explain how Systems accepting data from external sources must be very careful in
significant what they are receiving?
6. Computer models can be classified according to several independent pairs of attributes.
Elaborate.
7. How the output data from a computer simulation was occasionally presented in a table?
8. Explain the computer simulation in science and practical contents.
9. What are model calibration techniques?
10. “PERT/CPM is effectual tool for project planning.” Comment.
Answers: Self Assessment
1. Slack 2. Investigation
3. Stochastic 4. network-based groups
5. reliability 6. Distributed models
7. minus 8. final
9. subtracting 10. integrated
11. parallelism 12. covariance
13. performance 14. supplement
15. equilibrium
10.8 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 modeling and simulation
applications, ACM Transactions on Modeling 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 Modeling
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 Modeling
and Simulation VV&A, Millennium Edition (available at http://vva.dmso.mil).
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