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*ED1012*

VII Semester B.E. (CSE/ISE) Degree Examination, December 2014/January 2015 (2K11 Scheme) CI 74.1/IS 71 : SIMULATION AND MODELLING Time : 3 Hours

Max. Marks : 100

Instruction : Answer any five full questions choosing atleast two from each Part. PART – A 1. a) Explain steps in simulation study.

10

b) Consider a drive-in restaurant where carhops take orders and bring food to the car. Cars arrive in the manner shown in Table 1 (a). There are two carhops – Able and Baker. Able is better able to do the job and works a bit faster than Baker. The distribution of their service time is shown in Table 2 (a) and 2 (b). The distribution of Inter arrival of cars is given in table 1 (a). Table 1 (a) Inter arrival Distribution of Cars Time between Arrivals

1

2

3

Probability

0.25

0.40 0.20

4 0.15

Table 2 (a) Service Distribution of Able Service Time

2

3

4

Probability

0.30

0.28 0.25

5 0.17

Table 2 (b) Service Distribution of Baker Service Time

2

3

4

Probability

0.35

0.25 0.20

5 0.20

Table 3 Arrival

26

98 90

26

42

Service 95

21 51

92

89

Simulate the above problem to find how well the current arrangement is working. Random digits for Arrival and Service are given in table 3.

10 P.T.O.

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*ED1012*

2. a) Explain Queuing system with its characteristics. b) Define : Model, List, State, Event notice.

6 4

c) Six dump trucks are used to haul coal from the entrance of a small mine to railroad. Only two trucks can be at loader and one truck at scale at a particular time. After loading, a truck immediately moves to the scale, to be weighed as soon as possible. Both the loaders and the scale have first-come, firstserved waiting line for trucks. Travel time from loader to the scale is considered negligible. After being weighed, a truck begins a travel time and then afterwards returns to the loader queue. It has been assumed that five of the trucks are at the loaders and one is at the scale at time 0. Loading time, Weighing time and Travel time has been given in following table. Loading Time

10 5 5 10 15 10 10

Weighing Time 12 12 12 16 12 16 Travel Time

60 100 40 40 80

Simulate the above problem to estimate the loader and scale utilizations. Stop simulation at clock 52.

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3. a) Use the Linear congruential method to generate a sequence of three twodigit random integers. Let Xo = 27, a = 8, c = 47 and m = 100.

6

b) The sequence of numbers 0.54, 0.73, 0.98, 0.11 and 0.68 has been generated. Use the Kolmogorov-Smirnov test with alpha = 0.05 to determine if the hypothesis that the numbers are uniformly distributed on the interval [0, 1] can be rejected.

8

c) Generate random variate using inverse transform technique for Exponential distribution.

6

4. a) Consider the following sequence of numbers 0.12

0.01 0.23 0.28 0.89

0.31 0.64 0.28 0.83 0.93

0.99

0.15 0.33 0.35 0.91

0.41 0.60 0.27 0.75 0.88

0.68

0.49 0.05 0.43 0.95

0.58 0.19 0.36 0.69 0.87

Test for whether the 3rd, 8th, 13th and so on numbers in the sequence are auto correlated using alpha = 0.03.

8

*ED1012*

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b) Generate 3 Poisson variates with mean = 0.02. Use following random numbers : 0.4357, 0.4146, 0.8353, 0.9952, 0.8004.

8

c) Using multiplicative congruential method find the period of the generator for a = 13, m = 64 and Xo = 1 and 3.

4

PART – B 5. a) How to identify distribution of given input data ? Explain.

8

b) 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

0

1

2

3

4

Frequency of occurrence

35

40

13

06 04

5

6

01

01

Apply the chi-square test to these data to test the hypothesis that the underlying distribution is Poisson. Use a level of significance of alpha = 0.05. c) Define : covariance and correlation. 6. a) Explain validation process by Naylor and Finger. b) Explain time series input models AR (1) and EAR (1).

8 4 10 10

7. a) How to measure performance and their estimation in output analysis ? Explain.

8

b) Explain different methods of output analysis for terminating simulations.

6

c) Explain different methods of output analysis for steady-state simulations.

6

8. a) Write GPSS block diagram and GPSS/H program for single server queue simulation.

10

b) Write short on : 1) Face Validity. 2) When simulation is appropriate tool and when not.

——————————

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SIMULATION AND MODELLING.pdf

6. c) Explain different methods of output analysis for steady-state simulations. 6. 8. a) Write GPSS block diagram and GPSS/H program for single server queue.

67KB Sizes 4 Downloads 86 Views

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