Chapter 4 - Analysis of simulation data, Application

Computer Simulation and Modeling

Chapter 4 - Analysis of simulation data, Application

Important Questions from Chapter 4 - Analysis of simulation data, Application

1. Describe the steps involved in the development of a model of input data.

2. What do you understand by “Goodness of fit test”? Write the procedure for the same.

3. Explain selecting input models without data.

4. Describe p-Values & Best Fits.

5. Write a note on “Verification & Validation of Simulation models”

6. Explain in detail the 3 – step approach of Naylor and Finger in the validation process.

7. Explain how input-output transformations are validated?

8. Explain t-test & power of test.

9. Write a note on “Simulation of Manufacturing and Material-Handling Systems”

10. Write a note on “Simulation of Processor and Memory System”

 

Chapter 3 - Random Numbers

Computer Simulation and Modeling

Chapter 3 - Random Numbers 

Important Questions from Chapter 3 - Random Numbers

 

1. Test the following random numbers for independence by run test. Take α=0.5 and critical value Z0.025 = 1.96.                                        { 37, 59, 63, 07, 92, 48, 12, 86 }

2. The sequence of numbers 0.54, 0.73, 0.98, 0.11 and 0.68 has been generated. Use the Kolmogorov-Smirnov test with α = 0.05 to learn whether the hypothesis that the numbers are uniformly distributed on the interval [0, 1] can be rejected. Use D0.05, 5 = 0.565.

3. What are the methods used to generate random numbers? State the properties of random numbers.

4. Consider the following sequences of random numbers. How would you test it for independence?                                                   0.12 0.01 0.23 0.28 0.89 0.31 0.64 0.28 0.33 0.93                                                                                                                          0.39 0.15 0.33 0.35 0.91 0.41 0.60 0.25 0.55 0.88

5. Explain Convolution method.

6. Write a note on “Acceptance – Rejection Technique”

7. Records pertaining to the monthly number of job-related injuries at an underground coal mine were being studied by a federal agency. The values for the past 100 months were as follows: Injuries per month Frequency of occurance 0 35 1 40 2 13 3 6 4 4 5 1 6 1 Apply Chi-Square test to test these data to test the hypothesis that the underlying distribution is Poisson. (use a level of significance α = 0.05 ,        = 5.99).

8. Explain inverse transform techniques.

CSM Assignment No. 4

ASSIGNMENT NO. 4

1. Describe the steps involved in the development of a model of input data.
2. Explain selecting input models without data.
3. Records pertaining to the monthly number of job-related injuries at an underground coal mine were being studied by a federal agency. The values for the past 100 months were as follows:

Injuries per month	Frequency of occurance
0	35
1	40
2	13
3	6
4	4
5	1
6	1

Apply Chi-Square test to test these data to test the hypothesis that the underlying distribution is Poisson. (use a level of significance α = 0.05 ,  X²_0.05,2  = 5.99).

4. What do you understand by “Goodness of fit test”? Write the procedure for the same.
5. Write a note on “Verification & Validation of Simulation models”.
6. Explain in detail the 3 – step approach of Naylor and Finger in the validation process.
7. Explain how input-output transformations are validated?
8. Explain types of simulations with respect to output analysis.
9. Write a note on “Simulation of Manufacturing and Material-Handling Systems”.
10. Write a note on “Processor and Memory Simulation”.

GPSS/h and aGPSS

Computer Simulation and Modeling

To Download GPPS/h Software, Click here


To Download aGPPS Software, Click here

CSM Assignment No. 3

Assignment No. 3

1. Test the following random numbers for independence by run test. Take α=0.5 and critical value Z0.025 =1.96.                                        { 37, 59, 63, 07, 92, 48, 12, 86 }
2. The sequence of numbers 0.54, 0.73, 0.98, 0.11 and 0.68 has been generated. Use the Kolmogorov-Smirnov test with α=0.05 to learn whether the hypothesis that the numbers are uniformly distributed on the interval [0,1] can be rejected. Use D0.05, 5 = 0.565.
3. What are the methods used to generate random numbers? State the properties of random numbers.
4. Consider the following sequences of random numbers. How would you test it for independence?

0.12     0.01     0.23     0.28     0.89     0.31     0.64     0.28     0.33     0.93    

0.39     0.15     0.33     0.35     0.91     0.41     0.60     0.25     0.55     0.88

5. Explain inverse transform techniques.
6. Explain Convolution method.
7. Write a note on “Acceptance – Rejection Technique”.

Experiment List

Computer Simulation and Modeling

List of Experiments

Expt. No.	Experiment Name
1	Simulation of a Single Server System in spreadsheet (Single Checkout Counter).
2	Simulation of a Multiple Server System in spreadsheet (Able Baker Carhop Problem).
3	A.   Simulation of a (M, N) - Inventory System in spreadsheet. B.   Simulation of a Newspaper seller problem in spreadsheet.
4	Simulation of a Reliability Problem in spreadsheet (Bearing replacement in current and in proposed method).
5	Simulation of a Lead-time demand in spreadsheet
6	Simulation of a Computer Chips Manufacturing Industry. A.   Using GPSS/H B.   Using WebGPSS
7	Simulation of a Quality Control System. A.   Using GPSS/H B.   Using WebGPSS
8	Queuing Simulation (The Buffer Overflow Model) using Rockwell Arena. A.   The Finite Queue Capacity Model B.   The Infinite Queue capacity Model
9	Simulating the Balking using Rockwell Arena.
10	Simulating Counter using Rockwell Arena.
11	Write a Java program to perform Kolmogorov-Smirnov test to test uniformity of random numbers generated.
12	Write a Java program for testing uniformity using Chi-Square test.
13	Write a Java program to generate Random Numbers by using Linear Congruential Method.
14	Write a Java program for runs up and runs down test.