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Subject

Simulation and Modeling

Simulation and Modeling course consists of an introduction to systems, modeling, and simulation of different types of systems. It includes the modeling of systems, their validation, verification, and analysis of simulation output. It comprises the concept of queuing theory, random number generation as well as the study of some simulation languages.

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Exam Year

  • SAM Question Bank 2082
  • SAM Question Bank 2081
  • SAM Model question
  • SAM Question Bank 2080
  • SAM Question Bank 2079
  • SAM Question Bank 2076
  • SAM Question Bank 2078

Tribhuvan University

Institute of Science and Technology

2081

Bachelor Level / fifth-semester / Science

Computer Science and Information Technology( CSC317 )

Simulation and Modeling

Full Marks: 60 + 20 + 20

Pass Marks: 24 + 8 + 8

Time: 3 Hours

Candidates are required to give their answers in their own words as far as practicable.

The figures in the margin indicate full marks.

SECTION A

Attempt any TWO question.

1

Why is it necessary to analyze the simulation output. Explain different estimation method which are used in simulatiom output analysis.

2

Consider that a machine tool in a manufacturing shop is turning out parts at the rate of two every 5 minutes. As they are finished, the parts go to an inspector, who takes 5±2 minutes to examine each one and reject about 15% of the parts. Now develop a block diagram and write the code for simulating the above problem using GPSS, and also explain the function of each block used in the block diagram in detail.

3

Explain the independenceand uniformity property of random number. For the following sample of random numbers, perform test for independence using K-S test. (D0.05,10 = 0.41)

0.35, 0.77, 0.12, 0.33, 0.88, 0.45, 0.19, 0.25, 0.91, 0.54

SECTION B

Attempt any EIGHT question.

4

Difference between static physical and dynamic physical models.

5

Describe different phases of simulation study with help of flowchart.

6

Explain markov chain with suitable example. What are diffrernt application areas of markov chain?

7

Explain itetrative process of calibrating a simulation model.

8

Describe the process of model building, verification and validation in detail with example.

9

Define traffic intensity and server utilization. Write down the Kendall’s notation for queuing system with example.

10

Define traffic intensity and server utilization. Write down the Kendall’s notation for queuing system with example.

11

What is analog computer ? Explain with suitable example.

12

Write short notes:

  1. Queuing discipline
  2. Random variate
Simulation and Modeling Question Bank Solution 2081
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