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# System stimulation and modeling [10mca52] question Bank

1 When Simulation is an appropriate tool?
2 When Simulation is not appropriate tool?
4 How can we offset the disadvantages of simulation?
5 List the application areas/Industry domains of simulation?
6 List 5 typical applications each in manufacturing and transportation systems?
7 List 5 typical applications each in business process simulation & logistics, supply chain and
distribution?
8 What is System and System Environment?
9 Explain the terms: (a) entity (b) attribute (c) activity (d) event & (e) state in the system
simulation context?
10 Explain and give an example each of continuous and discrete system?
11 What is Model and Component of the system?
12 Explain Discrete-event System simulation and Steps in a Simulation Study.
13 Name several entities, attributes, activities, events & state variables of a typical automatic teller
machine (ATM)?
14 Explain the queuing system in simulation.
15 Explain the following queuing system characteristics: (a) calling population (b ) system capacity
(c) Arrival process (d) Queue behavior and discipline (e) service time and service mechanism
16 Describe Kendal-Lee notation for a queuing system.
17 Explain the Inventory System in simulation.
Explain with suitable examples : (a) Inter-arrival time (b) Service time (c) Utility time
(d) Idle time of a queuing system
18 With a suitable flow chart describe two server queue system.
19 A problem on reliability.
20 A problem on News Paper Sellers.
21 A problem on Simulation of a (M,N) inventory system.
22 A problem on Single-Channel Queue.
23 A problem on Able Bakers carhop.
24 A problem on Random normal numbers.
25 A problem on Lead Time demand.
26 Explain the concept of Discrete-Event Simulation.
27 Explain in detail the event scheduling/time advance algorithm.
28 Describe with examples the various world views.
29 Prepare a simulation table for a single channel queue system until the clock reaches time 20. The
stopping event will be at time 30. Inter-arrival times 4 5 2 8 3 6 Service times 3 5 4 6 1 5
30 Explain manual simulation using event scheduling with the help of a suitable example.
31 Provide the detailed flow chart of a typical arrival event and a departure event in a single channel
queuing system.
32 What is list processing? Explain. Page 5 of 5
33 Explain the properties of random number & its consequences.
34 Explain the generation of Pseudo-random Numbers.
35 Explain the linear congruential method for random number generation?
36 Explain the combined linear congruential random number generation method?
37 What is the role of maximum density and maximum period in random number generation?
38 Generate a sequence of 15 random numbers for which seed is 342, constant multiplier is 20,
increment is 45 and modulus is 30
39 Explain with an example the Kolmogorov-Smirnov test for random numbers.
40 Explain with an example the chi-square test for random numbers?
41 Explain auto correlation Test for random numbers.
42 Using the principles learnt, develop your own combined linear congruential random number
generator
43 What is inverse transform technique? Explain how it is used for producing random variants for
exponential distribution and uniform distribution.
44 Explain Exponential Distribution.
45 Briefly describe Uniform Distribution.
46 With example explain the various types of discrete distributions.
47 What are all the different acceptance rejection techniques?
48 What is convolution method? Explain.
49 State the four steps involved in the development of an input model?
50 Explain data collection with example.
51 Explain identifying the distribution with data with example.
52 Explain parameter estimation with examples.
53 Explain goodness of fit tests with examples.
54 How can you select input model with out data? Explain with example.
55 Define co variance & correlation?
56 Explain AR-1 model.
57 Explain EAR1 model.
58 What are the types of simulations with respect to output analysis?
59 Explain stochastic nature of output data with example.
60 Explain measure of performance and their estimation.
61 Explain output analysis of terminating simulations with examples.
62 With illustrative examples explain output analysis of steady-state simulations.
63 Explain how probabilities and quantiles can be estimated from summary data?
64 Describe initialization bias in steady state simulation.
65 Explain batch means for interval estimation in steady state simulation?
66 How model can be build verification and validate? Explain with diagram.
67 What are the techniques for verification of simulation model?
68 Describe in detail the three step approach for model validation?
69 What is model reasonable ness & explain how current contents and total count can verify it?
70 Briefly explain the validation of input-output transformations of the model and the various
techniques used?
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