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Queuing theory is applied best is situations where
- a)arrival rate of customers is equal to service rate
- b)average service time is greater than average arrival rate
- c)there is only one channel of arrival at random and the service time is constant
- d)the arrival and service time cannot be analysed through only standard statistical distribution
Correct answer is option 'C'. Can you explain this answer?
Most Upvoted Answer
Queuing theory is applied best is situations wherea)arrival rate of cu...
Queuing Theory in Service Systems
Queuing theory is used to analyse and optimize service systems. It is a mathematical approach that studies the waiting lines, the service times, and the processes involved in service systems. It is applicable in situations where the service system has to deal with a large number of customers, and the goal is to minimize the waiting time and to maximize the efficiency of the system.
Applicability of Queuing Theory
Queuing theory is applied best in situations where:
a) Arrival rate of customers is equal to service rate
If the arrival rate of customers is equal to the service rate, then the system is said to be in a steady state. In such a system, the average waiting time is minimized, and the efficiency of the system is maximized.
b) Average service time is greater than average arrival rate
If the average service time is greater than the average arrival rate, then the system is said to be underloaded. In such a system, the waiting time is minimal, and the system is efficient.
c) There is only one channel of arrival at random and the service time is constant
If there is only one channel of arrival at random and the service time is constant, then the system is said to be a single-server queue. In such a system, queuing theory is applicable, and the waiting time can be minimized.
d) The arrival and service time cannot be analysed through only standard statistical distribution
If the arrival and service time cannot be analysed through only standard statistical distribution, then queuing theory can be used to analyse the system. Queuing theory uses mathematical models to analyse the system, and it can provide insights into the system's performance.
Conclusion
Queuing theory is a powerful tool for analysing service systems. It can be applied in situations where the arrival rate of customers is equal to service rate, the average service time is greater than average arrival rate, there is only one channel of arrival at random and the service time is constant, and the arrival and service time cannot be analysed through only standard statistical distribution. By using queuing theory, service systems can be optimized to minimize the waiting time and to maximize the efficiency of the system.
Queuing theory is used to analyse and optimize service systems. It is a mathematical approach that studies the waiting lines, the service times, and the processes involved in service systems. It is applicable in situations where the service system has to deal with a large number of customers, and the goal is to minimize the waiting time and to maximize the efficiency of the system.
Applicability of Queuing Theory
Queuing theory is applied best in situations where:
a) Arrival rate of customers is equal to service rate
If the arrival rate of customers is equal to the service rate, then the system is said to be in a steady state. In such a system, the average waiting time is minimized, and the efficiency of the system is maximized.
b) Average service time is greater than average arrival rate
If the average service time is greater than the average arrival rate, then the system is said to be underloaded. In such a system, the waiting time is minimal, and the system is efficient.
c) There is only one channel of arrival at random and the service time is constant
If there is only one channel of arrival at random and the service time is constant, then the system is said to be a single-server queue. In such a system, queuing theory is applicable, and the waiting time can be minimized.
d) The arrival and service time cannot be analysed through only standard statistical distribution
If the arrival and service time cannot be analysed through only standard statistical distribution, then queuing theory can be used to analyse the system. Queuing theory uses mathematical models to analyse the system, and it can provide insights into the system's performance.
Conclusion
Queuing theory is a powerful tool for analysing service systems. It can be applied in situations where the arrival rate of customers is equal to service rate, the average service time is greater than average arrival rate, there is only one channel of arrival at random and the service time is constant, and the arrival and service time cannot be analysed through only standard statistical distribution. By using queuing theory, service systems can be optimized to minimize the waiting time and to maximize the efficiency of the system.
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Queuing theory is applied best is situations wherea)arrival rate of customers is equal to service rateb)average service time is greater than average arrival ratec)there is only one channel of arrival at random and the service time is constantd)the arrival and service time cannot be analysed through only standard statistical distributionCorrect answer is option 'C'. Can you explain this answer? for Mechanical Engineering 2025 is part of Mechanical Engineering preparation. The Question and answers have been prepared according to the Mechanical Engineering exam syllabus. Information about Queuing theory is applied best is situations wherea)arrival rate of customers is equal to service rateb)average service time is greater than average arrival ratec)there is only one channel of arrival at random and the service time is constantd)the arrival and service time cannot be analysed through only standard statistical distributionCorrect answer is option 'C'. Can you explain this answer? covers all topics & solutions for Mechanical Engineering 2025 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for Queuing theory is applied best is situations wherea)arrival rate of customers is equal to service rateb)average service time is greater than average arrival ratec)there is only one channel of arrival at random and the service time is constantd)the arrival and service time cannot be analysed through only standard statistical distributionCorrect answer is option 'C'. Can you explain this answer?.
Queuing theory is applied best is situations wherea)arrival rate of customers is equal to service rateb)average service time is greater than average arrival ratec)there is only one channel of arrival at random and the service time is constantd)the arrival and service time cannot be analysed through only standard statistical distributionCorrect answer is option 'C'. Can you explain this answer? for Mechanical Engineering 2025 is part of Mechanical Engineering preparation. The Question and answers have been prepared according to the Mechanical Engineering exam syllabus. Information about Queuing theory is applied best is situations wherea)arrival rate of customers is equal to service rateb)average service time is greater than average arrival ratec)there is only one channel of arrival at random and the service time is constantd)the arrival and service time cannot be analysed through only standard statistical distributionCorrect answer is option 'C'. Can you explain this answer? covers all topics & solutions for Mechanical Engineering 2025 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for Queuing theory is applied best is situations wherea)arrival rate of customers is equal to service rateb)average service time is greater than average arrival ratec)there is only one channel of arrival at random and the service time is constantd)the arrival and service time cannot be analysed through only standard statistical distributionCorrect answer is option 'C'. Can you explain this answer?.
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Queuing theory is applied best is situations wherea)arrival rate of customers is equal to service rateb)average service time is greater than average arrival ratec)there is only one channel of arrival at random and the service time is constantd)the arrival and service time cannot be analysed through only standard statistical distributionCorrect answer is option 'C'. Can you explain this answer?, a detailed solution for Queuing theory is applied best is situations wherea)arrival rate of customers is equal to service rateb)average service time is greater than average arrival ratec)there is only one channel of arrival at random and the service time is constantd)the arrival and service time cannot be analysed through only standard statistical distributionCorrect answer is option 'C'. Can you explain this answer? has been provided alongside types of Queuing theory is applied best is situations wherea)arrival rate of customers is equal to service rateb)average service time is greater than average arrival ratec)there is only one channel of arrival at random and the service time is constantd)the arrival and service time cannot be analysed through only standard statistical distributionCorrect answer is option 'C'. Can you explain this answer? theory, EduRev gives you an
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