Chap 3,4,6 Flashcards

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1
Q

dual value

A

the change in the objective value per unit increase in the RHS of constraints

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2
Q

Range of optimality

A

the range of values over which an objective value may vary without changing the optimal solution

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3
Q

objective function allowable increase/decrease

A

the amount the coefficient may increase/decrease without causing any change in the values of the decision variables in the optimal solution. it can be used to calculate the range of optimality

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4
Q

Sensitivity analysis

A

the study of how changes in the coefficients of a linear programming problem affect the optimal solution

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5
Q

reduced cost

A

the reduced cost of a variable is equal to the dual value on the non-negativilty constraint for that variable

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6
Q

range of feasibility

A

the range of values over which the dual value is applicable

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7
Q

RHS allowable increase/decrease

A

the amount the RHS may increase/decrease without causing any change in the dual value for that constraint.
Can be used to calculate the range of feasibility for that constraint.

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8
Q

Sunk cost

A

a cost that is not affected by the decision made. it will incurred no matter what values the decision variables assume

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9
Q

relevant costs

A

a cost that depends upon the decision made. Will vary depending on the decision variables

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10
Q

Transportation problem

A

a network flow problem that often involves minimizing the cost of shipping goods from a set of origins to a set of destinations. It can be formulated and solved as a linear program by including a variable for each arc and a constraint for each node

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11
Q

network

A

a graphical representation of a problem consisting of numbered circles (nodes) interconnected by a series of lines (arcs), arrowheads on the arcs show the direction of flow (duh). transportation, assignment, and transshipment problems are network flow problems

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12
Q

nodes

A

the intersection or junction points of a network

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13
Q

arcs

A

the lines connecting the nodes in a network

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14
Q

dummy origin

A

an origin added to a transportation problem to make the total supply equal to the total demand. the supply assigned to the dummy origin is the difference between the total demand and the total supply

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15
Q

capacitated transportation problem

A

a variation of the basic transportation problem in which some or all of the arcs are subject to capacity restrictions

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16
Q

assignment problem

A

a network flow problem that often involves the assignment of agents to tasks. it can be formulated as a linear program and is a special case of the transportation problem

17
Q

transshipment problem

A

an extension of the transportation problem to distribution problems involving transfer points and possible shipments between any pair of nodes

18
Q

capacitated transshipment problem

A

a variation of the transshipment problem in which some or all of the arcs are subject to capacity restrictions

19
Q

shortest route

A

the shortest path between two nodes in a network

20
Q

maximal flow

A

the max amount of flow that can enter and exit a network system during a given period of time…of course

21
Q

flow capacity

A

the max flow for an arc of the network. the flow capacity is one direction may not equal the flow capacity in the reverse direction