Exam 18: CD - Transportation and Assignment Problems

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A transportation problem requires a unit cost for every source-destination combination.

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The transportation model method for evaluating location alternatives minimizes:

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The feasible solutions property states that a pure transportation problem will have feasible solutions if and only if the sum of its supplies equals the sum of its demands.

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In an assignment problem,every destination has a demand of 0 or 1.

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Which of the following is the fastest algorithm for solving an assignment problem?

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Which of the following are assumptions or requirements of transportation problems? I.Goods are the same,regardless of source. II.There must be a single source. III.Minimum quantities must be shipped. IV.Shipping costs per unit do not vary with the quantity shipped.

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It is not possible to solve a transportation problem that has \le instead of = signs for the supply constraints.

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The linear programming model of a transportation problem is one of maximization of its objective function.

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The transportation simplex method solves transportation problems much faster than the regular simplex method.

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Many problems can be reformulated to fit the format of an assignment problem.

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Which of the following is not an assumption of assignment problems?

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Network representation provides a way of visualizing an assignment problem graphically.

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When demand and supply are not equal in a transportation problem then the problem cannot be solved.

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Transportation problems must satisfy which of the following assumptions?

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Which of the following problems can be reformulated to fit the format for an assignment problem?

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It is always necessary to add constraints to a transportation model in order to restrict variables to only integer values.

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When demand is not a fixed amount but a range,the problem cannot be formulated as a transportation problem.

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In a pure assignment problem,more than one person can be assigned to a specific task. Multiple Choice Questions

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The Hungarian Method is an algorithm used to solve transportation problems.

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In the linear programming version of a true transportation model:

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