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A. Unbalanced transportation problem
B. Continuous random variable
C. Discrete random variable
D. Both a & c
A. True
B. False
A. True
B. False
A. Little’s law
B. Limited (finite) population
C. Jowl law
D. None of these
A. Little’s law
B. Limited (finite) population
C. Jowl law
D. None of these
A. λ
B. E
C. X
D. P(x)
A. True
B. False
A. Queue discipline
B. Continuous random variable
C. Queueing theory
D. Negative exponential distribution
A. Service rate
B. Service rate
C. Queueing theory
D. Service time
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
A. Positive exponential distribution
B. Negative exponential distribution
C. No exponential distribution
D. None of these possibility
A. Unlimited (infinite) population
B. Cumulative probability distribution
C. Monte Carlo simulation
D. All of these
A. Queue time
B. Waiting time
C. Bottleneck
D. Queue discipline
A. Idle
B. Critical
C. Busy
D. Bottleneck
A. Total resources
B. Total costs
C. Total human resources
D. Total materials
A. Normal distribution
B. Poisson distribution
C. Skewed distribution
D. Negative exponential distribution
A. Service rate
B. Turnover
C. Arrival rate
D. Acceptance
A. Queuing theory
B. Linear programming
C. Game theory
D. Probability analysis
A. Discrete variable
B. Continuous random variable
C. Dichotomous variable
D. Process variable
A. Service rate
B. Service quality
C. Arrival rate
D. Queue time
A. Loss
B. Waiting time
C. Factor
D. Queue
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
A. Queuing theory
B. Central limit theorem
C. Game theory
D. Probability analysis
A. Infinite
B. Limited
C. Continuous
D. Discrete
A. Unbalanced transportation problem
B. Continuous random variable
C. Discrete random variable
D. Negative exponential distribution
A. Time
B. Costs
C. Inventory
D. Surplus