STUPIDSID
1 (a)
Discuss types of simulation models
5 M
1 (b)
Compare random numbers and random variate
5 M
1 (c)
How is Pokers test used for testing independence?
5 M
1 (d)
Event scheduling algorithm.
5 M
2 (a)
Explain the steps in simulation study in detail.
10 M
2 (b)
An industrial chemical that will ratard the spread of fire has been developed. The loacal sales representatives have determined from past experience 48% of sales call will result in an order.
(i) What is the probability that the first order will call on 4th sales call of the day?
(ii) If 8 sales call are made on a day, what is the probability of receiving exactly 6 orders?
(iii) If 4 sales call are made before lunch, what is the probability that one or less result in an order?
(i) What is the probability that the first order will call on 4th sales call of the day?
(ii) If 8 sales call are made on a day, what is the probability of receiving exactly 6 orders?
(iii) If 4 sales call are made before lunch, what is the probability that one or less result in an order?
10 M
3 (a)
Consider the following sequence of 5 numbers :0,15,0.94,0.05,0.51 and 0.29
Use the Kolmogorov-Smirnov test determine whether the Hypothesis of uniformity can be rejected, given ?=0.05 and the critical value of D=0.565
Use the Kolmogorov-Smirnov test determine whether the Hypothesis of uniformity can be rejected, given ?=0.05 and the critical value of D=0.565
10 M
3 (b)
Explain Naylor and Finger validation approach
10 M
4 (a)
Explain data collection and analysis for input modeling
10 M
4 (b)
What are long run measure of performance of Queuing system. Assume : R0=10, d=2 and S02=25.30. Estimate the long-run mean queue length LQ, within ?=2 customers with 90% cinfidence (a=10%). Form the table the value of Z0.05=1.645. How many additional replications required?
10 M
5 (a)
Explain the cobweb model in detail.
10 M
5 (b)
Explain data collection and analysis for input modeling
10 M
6 (a)
What is time-series input model? Explain AR(1) and EAR(1) model.
10 M
6 (b)
A CNG station has two filling machines. The service time follows the exponential distribution with mean of 5 minutes and taxis arrives for service in Poisson fashion at rate of 15 per hour. Compute the steady state parameter of this M/M/C system.
10 M
Write a short notes
7 (a)
Cost of Inventory system
5 M
7 (b)
Poisson Process and distribution
5 M
7 (c)
Terminating and no terminating simulation
5 M
7 (d)
Issue in simulation of Manufacturing System.
5 M
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