1(a)
Define simulation. What are the various steps stimulation study? Explain each of them. Draw the flowchart of the same.

10 M

1(b)
Consider a single server system. Let the arrival distribution be uniformly distributed between 1 and 10 minutes and the service time distribution is as follows-

Develop the simulation table and analyze the system by simulating the arrival and service of 10 customers. Random digits for interarrival time and service time are as follows.

Also calculate server utilization and maximum queue length.

Service Time(min) | 1 | 2 | 3 | 4 | 5 | 6 |

Probability | 0.04 | 0.20 | 0.10 | 0.26 | 0.35 | 0.05 |

Customer | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |

R.D. for Interarrival Time | --- | 853 |
340 |
205 | 99 | 669 | 742 | 301 | 888 | 444 |

R.D. for Service Time | 71 | 59 | 12 | 88 | 97 | 66 | 81 | 35 | 29 | 91 |

10 M

2(a)
Explain the dump trucks problem in detail.

10 M

2(b)
Explain the replication method for steady state simulation.

10 M

3(a)
The interarrival times as well as service time at a single-chair unisex barbershop have been shown to be exponentially distributed. The values of λ and μ are 4 per hour and 6 per hour, respectively. Compute the steady-state parameters and the probabilities for zero, one, two three, and four or more customers in the shop.

10 M

3(b)
Exlain Poisson process and state its properties.

10 M

4(a)
Design a generator for weibull distribution. Using this generator get a weibull variate for α=8, β=0.75, v=0, and R = 0.612.

10 M

4(b)
Explain in detail the three step approach of Naylor and Finger in the validation process.

10 M

5(a)
State the properties of random numbers. What are the problems or errors than can occur while generating pseudo random numbers? Use the the mixed congruentual method to generate of sequence of three two-digit random integers between 0 and 24 with X

_{0}=13, a=9, and c=35.
10 M

5(b)
Discuss the various issues in manufaturing and material handling system's simulation.

10 M

6(a)
Explain the time series input models.

8 M

6(b)
The highway between Mumbai, Delhi and Calcutta, Delhi, has a high incidence of accidents along its 100 kilometers. Public safety officers say that the occurrence of accidents along the highway is randomly (uniformly) distributed, but the news media say otherwise. The Delhi Department of Public Safety published records for month of June. These records indicated the point at which 30 accidents involving an injury or death occured as follows ( the data points represent the distance from the city limits of Mumbai):

Use the Kolmogorov-Smimov goodness of fit test to determine whether the distribution of location of accidents is uniformly distributed for the month of June. Use a level of significane of α = 0.05.

88.3 | 40.7 | 36.3 | 27.3 | 36.8 | 91.7 | 67.3 | 7.0 | 45.2 | 23.3 |

98.8 | 90.1 | 17.2 | 23.7 | 97.4 | 32.4 | 87.8 | 69.8 | 62.6 | 99.7 |

20.6 | 73.1 | 21.6 | 6.0 | 45.3 | 76.6 | 73.2 | 27.3 | 87.6 | 87.2 |

Use the Kolmogorov-Smimov goodness of fit test to determine whether the distribution of location of accidents is uniformly distributed for the month of June. Use a level of significane of α = 0.05.

12 M

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