Waiting Line Models MCQs
Waiting Line Models MCQs
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1: A variable whose numerical outcomes can be measured is known as
A. Unbalanced transportation problem
B. Continuous random variable
C. Discrete random variable
D. Both a & c
2: Discrete random variable IS a variable whose outcomes take on numerical values that can be counted
A. True
B. False
3: When the number of observation can be counted and is definite, it is known as finite population
A. True
B. False
4: ______ is a simple and commonly used theorem in queueing theory. It makes very few assumptions except that the system is at a steady state
A. Little’s law
B. Limited (finite) population
C. Jowl law
D. None of these
5: ______ is a simple and commonly used theorem in queueing theory. It makes very few assumptions except that the system is at a steady state
A. Little’s law
B. Limited (finite) population
C. Jowl law
D. None of these
6: the mathematical expression expected or average arrival rate(in Poisson distribution)
A. λ
B. E
C. X
D. P(x)
7: Queue is a certain number of customers waiting for service at a facility
A. True
B. False
8: ______is the order in which customers waiting in line receive service at the facility
A. Queue discipline
B. Continuous random variable
C. Queueing theory
D. Negative exponential distribution
9: A part of an operations manager’s toolbox in making business decisions about resources needed to provide a service, and it has many applications is known as
A. Service rate
B. Service rate
C. Queueing theory
D. Service time
10: Which of the correct statement about Service rate
A. The number of customers served per unit of time
B. A continuous random variable that is also assumed to follow a probability
C. Decisions made when the state of nature
D. None of these
11: A continuous random variable that is also assumed to follow a probability distribution known as
A. Positive exponential distribution
B. Negative exponential distribution
C. No exponential distribution
D. None of these possibility
12: Theoretically represents systems that potentially have a large number of possible customers IS known as
A. Unlimited (infinite) population
B. Cumulative probability distribution
C. Monte Carlo simulation
D. All of these
13: ______ refers to the order in which customers waiting in line receive service at the facility.
A. Queue time
B. Waiting time
C. Bottleneck
D. Queue discipline
14: In manufacturing facilities, waiting lines of work-in-process inventory begin to form at ______ workstations or when machines break down.
A. Idle
B. Critical
C. Busy
D. Bottleneck
15: The primary objective of managing waiting lines is to minimize their ______ throughout any service or manufacturing facility.
A. Total resources
B. Total costs
C. Total human resources
D. Total materials
16: In waiting line models, the variable interarrival time is assumed to follow a probability distribution known as the ______.
A. Normal distribution
B. Poisson distribution
C. Skewed distribution
D. Negative exponential distribution
17: ______ is the number of customers served per unit of time.
A. Service rate
B. Turnover
C. Arrival rate
D. Acceptance
18: ______ is a part of an operations manager’s toolbox in making business decisions about resources needed to provide a service, and it has many applications.
A. Queuing theory
B. Linear programming
C. Game theory
D. Probability analysis
19: Interarrival time is a ______.
A. Discrete variable
B. Continuous random variable
C. Dichotomous variable
D. Process variable
20: In waiting line problems, the ______ is typically described by a discrete probability distribution known as the Poisson distribution.
A. Service rate
B. Service quality
C. Arrival rate
D. Queue time
21: A ______ represents a certain number of customers waiting for service at a facility.
A. Loss
B. Waiting time
C. Factor
D. Queue
22: Little’s law is a common queuing theory that assumes what in a system?
A. The arrival rate is faster than the service rate
B. A steady state
C. A variable number of customers in the queuing system
D. First in, first out
23: The study and analysis of waiting lines or queues is part of a branch of mathematics known as ______.
A. Queuing theory
B. Central limit theorem
C. Game theory
D. Probability analysis
24: Queue size can be either ______ or finite.
A. Infinite
B. Limited
C. Continuous
D. Discrete
25: A probability distribution that describes the time between events in a process in which events occur continuously and independently at a constant average rate is known as
A. Unbalanced transportation problem
B. Continuous random variable
C. Discrete random variable
D. Negative exponential distribution
26: ______ related to capacity are incurred in order to maintain existing facility capacity or add additional capacity to provide the required service.
A. Time
B. Costs
C. Inventory
D. Surplus
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