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Min 4X + 3Y + 6Z
Max 5 XY
Max 5X2 + 6Y4
Min (X1+X2) / 3
Computer Model
Performance Measures
Real system
Estimated inferences
Goal of a management science
Objective of linear programming
Decision for decision analysis
Constraint of operation research
Operating Characteristics
Steady State
Channel
Queue Discipline
M + n -1
M + n
M X n
M + n -1
Reneging
Backing
Jockeying
Alternating
Arrival pattern
Number of services
Service pattern
Capacity of the system
0
Negative
- ∞
∞
Satisfy the rim conditions
Present solution from becoming degenerate
Ensure that the total cost does not exceed a limit
None of the above
Optimizes the system
Describes future behavior of the system
Leads to higher order decision making
All of the alternatives are true.
µ > λ
Each server has its own queue
Each server has the same service rate
All of the alternatives are correct
The relevant cost item is replaced by a zero
The relevant cost item is the same as the lowest cost in the entire matrix
The relevant cot item is replaced by M a very large number
The relevant cost item is subtracted from all the other cost item
Service rate divided by arrival rate
Length in the system divided by length in the queue
Waiting time in system divided by waiting time in queue
Arrival rate divided by service rate
ϱ / 1-ϱ
λ 2 / µ - λ
1/ µ - λ
ρ2 / 1-ρ
Simplex Method
Graphical Method
Vector Method
Hungarian Method
R2 = R1 X P2
R2 = (R0 X P2) X (R0XP2)
R2 = P X R1
None of the above
It will not have zero as its element.
It will have zero as elements of one diagonal
It will have zero at least one zero in each row and column
None
Mean arrival rate < mean service rate
Queue discipline is not first came first serve
Arrivals follow Poisson distribution
Service times are Poisson distributed
Different
Exactly same
Non-real
None of the above
Model building
Obtain alternate solutions
Interpreting the variables
Formulation of the problem