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Test: Queueing Theory Level - 1 - Mechanical Engineering MCQ


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20 Questions MCQ Test Industrial Engineering - Test: Queueing Theory Level - 1

Test: Queueing Theory Level - 1 for Mechanical Engineering 2024 is part of Industrial Engineering preparation. The Test: Queueing Theory Level - 1 questions and answers have been prepared according to the Mechanical Engineering exam syllabus.The Test: Queueing Theory Level - 1 MCQs are made for Mechanical Engineering 2024 Exam. Find important definitions, questions, notes, meanings, examples, exercises, MCQs and online tests for Test: Queueing Theory Level - 1 below.
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Test: Queueing Theory Level - 1 - Question 1

Which of the following distributions is followed by the number of arrivals in a given time in a single-server queuing model?

Test: Queueing Theory Level - 1 - Question 2

As per Kendall’s notation in M/M/1:FCFS/∞/∞ queueing system, the number of arrivals in a fixed time follows

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Test: Queueing Theory Level - 1 - Question 3

Which one of the following statements is correct? Queuing theory is applied best in situations where

Test: Queueing Theory Level - 1 - Question 4

Which of the following term is not related to queueing?

Test: Queueing Theory Level - 1 - Question 5

In a M/M/1 queueing system, the expected waiting time of a unit that actually waits is given by

Test: Queueing Theory Level - 1 - Question 6

The expected waiting time in the system is

Test: Queueing Theory Level - 1 - Question 7

In a single server queue customers are served at a rate of μ. If W and Wq represent the mean waiting time in the system and mean waiting time in the queue respectively, then W will be equal to

Detailed Solution for Test: Queueing Theory Level - 1 - Question 7

We know that:

Waiting time in system (W) =

Waiting time in queue (Wq) =

∴ W = Wq + 1/μ

Test: Queueing Theory Level - 1 - Question 8

In a queueing model, P is the mean arrival rate and Q is the mean service rate. The probability that the queue length is greater than n is

Detailed Solution for Test: Queueing Theory Level - 1 - Question 8

prob = P(n+1)

λ = P

μ = Q

Test: Queueing Theory Level - 1 - Question 9

Which of the following represents traffic intensity?

Test: Queueing Theory Level - 1 - Question 10

In single server queueing model if arrival rate is λ and service rate is μ, then what is the probability of the system being idle?

*Answer can only contain numeric values
Test: Queueing Theory Level - 1 - Question 11

A garage is manned with a single worker. Customers arrive at a rate of 20 per hour. The time required to provide service is exponentially distributed with a mean of 100 seconds. The mean waiting time (in minutes) of a customer, needing repair facility in the queue will be __________


Detailed Solution for Test: Queueing Theory Level - 1 - Question 11

λ = 20/hour

= 2.08 minutes

Test: Queueing Theory Level - 1 - Question 12

A machine receives jobs at a rate of 20 per hour and the processing rate is 30 per hour. How much time (in minutes) on an average does a job have to wait before it gets loaded on to the machine?

Detailed Solution for Test: Queueing Theory Level - 1 - Question 12

λ = 20/hour

μ = 30/hour

*Answer can only contain numeric values
Test: Queueing Theory Level - 1 - Question 13

Trains arrive at a yard every 15 minutes and the service time is 5 minutes. The probability that the yard has 3 trains in the system is __________


Detailed Solution for Test: Queueing Theory Level - 1 - Question 13

Given data,

Probability that there are ‘n’ trains in a system is

ρn (1 − ρ)

for 3 train in a system =

= 0.024

Test: Queueing Theory Level - 1 - Question 14

Consider the following data arrival rate = 6 per hour, departure rate = 10 per hour The probability that queue size is greater than 3 is

Detailed Solution for Test: Queueing Theory Level - 1 - Question 14

λ = 6/hour

μ = 10/hour

ρ(n > 3) = ρn+1

= 0.1296

Test: Queueing Theory Level - 1 - Question 15

In a health clinic, the average rate of arrival of patients is 12 per hour. On an average, a doctor can serve patients at the rate of one patient every four minutes. Find the utilization factor.

Detailed Solution for Test: Queueing Theory Level - 1 - Question 15

λ = 12/hour

Test: Queueing Theory Level - 1 - Question 16

In a M/M/1: FCFS/∞/∞ queueing system the mean arrival rates is 4/hour and mean service rate is 12/hour. The expected length of nonempty queue is

Detailed Solution for Test: Queueing Theory Level - 1 - Question 16

λ = 4/hour

μ = 12/hour

= 0.167

Test: Queueing Theory Level - 1 - Question 17

If the arrivals at a service facility are distributed as per the poisson distribution with a mean rate of 10 per hour and the services are exponentially distributed with a mean service time of 4 minutes, what is the probability that a customer may have to wait to be served?

Detailed Solution for Test: Queueing Theory Level - 1 - Question 17

Arrivals at a rate of 10/hour (λ = 10)

Service is at the rate of 4 minutes interval (μ = 15)

ρ = Probability that the customer has to wait

Test: Queueing Theory Level - 1 - Question 18

The inter-arrival times at a tool crib are exponential with an average time of 10 minutes and the length of the service time is assumed to be exponential with mean 6 minutes. The probability that a person arriving at the booth will have to wait is equal to

Detailed Solution for Test: Queueing Theory Level - 1 - Question 18

Probability that person has to wait = ρ =

= 10 persons/hour

Therefore probability that person has to wait

Test: Queueing Theory Level - 1 - Question 19

In a single server queueing model the mean arrival rate is 6 per shift of (8 hours) and the arrival follows poisson distribution. The mean service time is 50 minutes and it follows exponential distribution. The working time of the server is (hours)

Detailed Solution for Test: Queueing Theory Level - 1 - Question 19

Working time of the server = ρ × available time

Test: Queueing Theory Level - 1 - Question 20

Customers arrive at a ticket counter with an arrival rate of 12 customers per hour. A clerk serves the customers at a rate of 24 per hour. The probability that the clerk is busy is __________

Detailed Solution for Test: Queueing Theory Level - 1 - Question 20

Arrival rate λ = 12/hour

Service rate μ = 24/hour

Probability that the clerk is busy is when there is at least one customer in the system

= λ/μ

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