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The direction of flow in the shortest-route problem is always out of the origin node and into the destination node.

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The shortest-route problem finds the shortest-route


A) from the source to the sink.
B) from the source to any other node.
C) from any node to any other node.
D) from any node to the sink.

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Whenever total supply is less than total demand in a transportation problem, the LP model does not determine how the unsatisfied demand is handled.

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When a route in a transportation problem is unacceptable, the corresponding variable can be removed from the LP formulation.

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The capacitated transportation problem includes constraints which reflect limited capacity on a route.

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A transshipment constraint must contain a variable for every arc entering or leaving the node.

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When the number of agents exceeds the number of tasks in an assignment problem, one or more dummy tasks must be introduced in the LP formulation or else the LP will not have a feasible solution.

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In a transshipment problem, shipments


A) cannot occur between two origin nodes.
B) cannot occur between an origin node and a destination node.
C) cannot occur between a transshipment node and a destination node.
D) can occur between any two nodes.

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The maximal flow problem can be formulated as a capacitated transshipment problem.

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The difference between the transportation and assignment problems is that


A) total supply must equal total demand in the transportation problem
B) the number of origins must equal the number of destinations in the transportation problem
C) each supply and demand value is 1 in the assignment problem
D) there are many differences between the transportation and assignment problems

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We assume in the maximal flow problem that


A) the flow out of a node is equal to the flow into the node.
B) the source and sink nodes are at opposite ends of the network.
C) the number of arcs entering a node is equal to the number of arcs exiting the node.
D) None of the alternatives is correct.

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