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Unit 10: Simulation of a PERT Network (II)
10.5 Keywords Notes
ALSP: Aggregate Level Simulation Protocol
DIS: Distributed Interactive Simulation
GIGO: Garbage In, Garbage Out
HLA: High Level Architecture
SAN: Stochastic Activity Network
TENA: Test and Training Enabling Architecture
10.6 Self Assessment
Fill in the blanks:
1. Tasks on the critical path have no …………….. and this feature may be used to actually
identify the critical path.
2. The opportunity to re-use existing models for the …………….. of different aspects of a
production system.
3. …………….. models use random number generators to model chance or random events.
4. Computer simulations vary from computer programs that run a few minutes, to
…………….. of computers running for hours, to ongoing simulations that run for days.
5. The …………….. and the trust people put in computer simulations depends on the validity
of the simulation model.
6. …………….. run on a network of interconnected computers.
7. The late start for each task is the late finish …………….. the duration of the task.
8. The …………….. calculation is for the earliest completion time for the project.
9. The slack time for each task by …………….. the early start from the late start.
10. An object-orientated simulation approach towards an …………….. planning of production
systems.
11. Simulation is an application with high degree of intrinsic ……………..
12. The vector of selected path controls has both a known mean and a known ………… matrix.
13. Simulations can be used to explore and gain new insights into new technology, and to
estimate the …………….. of systems too complex for analytical solutions.
14. Computer models were initially used as a …………….. for other arguments, but their use
later became rather widespread.
15. Equations define the relationships between elements of the modeled system and attempt
to find a state in which the system is in ……………..
10.7 Review Questions
1. Compare actual versus predicted reductions in point-estimator variance and confidence-
interval half-length for a set of SANs.
2. Explain how a continuous dynamic simulation performs numerical solution of differential-
algebraic equations.
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