Exam 14: Multicriteria Decisions

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One limitation of a scoring model is that it uses arbitrary weights that do not necessarily reflect the preferences of the individual decision maker.

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The goal programming problem below was solved with the Management Scientist. Min P1(d1−) + P2(d2+) + P3(d3−) s.t. 72x1 + 38x2 + 23x3 ≤ 20,000 .72x1 − .76x2 − .23x3 + d1− − d1+ = 0 x3 + d2− − d2+ = 150 38x2 + d3− − d3+ = 2000 x1, x2, x3, d1−, d 1+, d2−, d2+, d3−, d3+ ≥ 0 Partial output from three successive linear programming problems is given. For each problem, give the original objective function expression and its value, and list any constraints needed beyond those that were in the original problem. The goal programming problem below was solved with the Management Scientist. Min P<sub>1</sub>(d<sub>1</sub>−) + P<sub>2</sub>(d<sub>2</sub><sup>+</sup>) + P<sub>3</sub>(d<sub>3</sub>−) s.t. 72x<sub>1</sub> + 38x<sub>2</sub> + 23x<sub>3</sub> ≤ 20,000 .72x<sub>1</sub> − .76x<sub>2</sub> − .23x<sub>3</sub> + d<sub>1</sub>− − d<sub>1</sub><sup>+</sup> = 0 x<sub>3</sub> + d<sub>2</sub>− − d<sub>2</sub><sup>+</sup> = 150 38x<sub>2</sub> + d<sub>3</sub>− − d<sub>3</sub><sup>+</sup> = 2000 x<sub>1</sub>, x<sub>2</sub>, x<sub>3</sub>, d<sub>1</sub>−, d <sub>1</sub><sup>+</sup>, d<sub>2</sub>−, d<sub>2</sub><sup>+</sup>, d<sub>3</sub>−, d<sub>3</sub><sup>+</sup> ≥ 0 Partial output from three successive linear programming problems is given. For each problem, give the original objective function expression and its value, and list any constraints needed beyond those that were in the original problem.   ​   ​  The goal programming problem below was solved with the Management Scientist. Min P<sub>1</sub>(d<sub>1</sub>−) + P<sub>2</sub>(d<sub>2</sub><sup>+</sup>) + P<sub>3</sub>(d<sub>3</sub>−) s.t. 72x<sub>1</sub> + 38x<sub>2</sub> + 23x<sub>3</sub> ≤ 20,000 .72x<sub>1</sub> − .76x<sub>2</sub> − .23x<sub>3</sub> + d<sub>1</sub>− − d<sub>1</sub><sup>+</sup> = 0 x<sub>3</sub> + d<sub>2</sub>− − d<sub>2</sub><sup>+</sup> = 150 38x<sub>2</sub> + d<sub>3</sub>− − d<sub>3</sub><sup>+</sup> = 2000 x<sub>1</sub>, x<sub>2</sub>, x<sub>3</sub>, d<sub>1</sub>−, d <sub>1</sub><sup>+</sup>, d<sub>2</sub>−, d<sub>2</sub><sup>+</sup>, d<sub>3</sub>−, d<sub>3</sub><sup>+</sup> ≥ 0 Partial output from three successive linear programming problems is given. For each problem, give the original objective function expression and its value, and list any constraints needed beyond those that were in the original problem.   ​   ​  The goal programming problem below was solved with the Management Scientist. Min P<sub>1</sub>(d<sub>1</sub>−) + P<sub>2</sub>(d<sub>2</sub><sup>+</sup>) + P<sub>3</sub>(d<sub>3</sub>−) s.t. 72x<sub>1</sub> + 38x<sub>2</sub> + 23x<sub>3</sub> ≤ 20,000 .72x<sub>1</sub> − .76x<sub>2</sub> − .23x<sub>3</sub> + d<sub>1</sub>− − d<sub>1</sub><sup>+</sup> = 0 x<sub>3</sub> + d<sub>2</sub>− − d<sub>2</sub><sup>+</sup> = 150 38x<sub>2</sub> + d<sub>3</sub>− − d<sub>3</sub><sup>+</sup> = 2000 x<sub>1</sub>, x<sub>2</sub>, x<sub>3</sub>, d<sub>1</sub>−, d <sub>1</sub><sup>+</sup>, d<sub>2</sub>−, d<sub>2</sub><sup>+</sup>, d<sub>3</sub>−, d<sub>3</sub><sup>+</sup> ≥ 0 Partial output from three successive linear programming problems is given. For each problem, give the original objective function expression and its value, and list any constraints needed beyond those that were in the original problem.   ​   ​

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a.Min d1minus, Z = 0
B.Min d2plus, Z = 0, the constraint d1minus = 0 was includeD.C.Min d3minus, Z = 0, the constraint d2plus = 0 was included.

An ATM is to be located in a campus union building so that it minimizes the distance from the food court, the gift shop, and the theater. They are located at coordinates (2,2), (0,6) and (8,0). Develop a goal programming model to use to locate the best place for the ATM.

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Let
x1 = the first coordinate of the ATM
x2 = the second coordinate of the ATM
Min
Σ (di+ + di− )s.t.
x1 + d1− − d1+ = 2
x1 + d2− − d2+ = 2
x1 + d3− − d3+ = 0
x2 + d4− − d4+ = 6
x2 + d5− − d5+ = 8
x2 + d6− − d6+ = 0

The variable d- measures

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​Explain the structure of a hierarchy diagram used in the analytic hierarchy process as a graphical representation of the problem.

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AHP allows a decision maker to express personal preferences about the various aspects of a multicriteria problem.

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​How can you be sure your rankings in AHP are consistent?

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Goal equations consist of a function that defines goal achievement and deviation variables that measure the distance from the target.

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The steps of the scoring model include all of the following EXCEPT:

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Like many high school seniors, Anne has several universities to consider when making her final college choice. To assist in her decision, she has decided to use AHP to develop a ranking for school R, school P, and school M. The schools will be evaluated on five criteria, and Anne's pair-wise comparison matrix for the criteria is shown below. Like many high school seniors, Anne has several universities to consider when making her final college choice. To assist in her decision, she has decided to use AHP to develop a ranking for school R, school P, and school M. The schools will be evaluated on five criteria, and Anne's pair-wise comparison matrix for the criteria is shown below.   ​ The universities' pair-wise comparisons on the criteria are shown below.           ​  a.What is the overall ranking of the five criteria? b.What is the overall ranking of the three universities? ​ The universities' pair-wise comparisons on the criteria are shown below. Like many high school seniors, Anne has several universities to consider when making her final college choice. To assist in her decision, she has decided to use AHP to develop a ranking for school R, school P, and school M. The schools will be evaluated on five criteria, and Anne's pair-wise comparison matrix for the criteria is shown below.   ​ The universities' pair-wise comparisons on the criteria are shown below.           ​  a.What is the overall ranking of the five criteria? b.What is the overall ranking of the three universities? Like many high school seniors, Anne has several universities to consider when making her final college choice. To assist in her decision, she has decided to use AHP to develop a ranking for school R, school P, and school M. The schools will be evaluated on five criteria, and Anne's pair-wise comparison matrix for the criteria is shown below.   ​ The universities' pair-wise comparisons on the criteria are shown below.           ​  a.What is the overall ranking of the five criteria? b.What is the overall ranking of the three universities? Like many high school seniors, Anne has several universities to consider when making her final college choice. To assist in her decision, she has decided to use AHP to develop a ranking for school R, school P, and school M. The schools will be evaluated on five criteria, and Anne's pair-wise comparison matrix for the criteria is shown below.   ​ The universities' pair-wise comparisons on the criteria are shown below.           ​  a.What is the overall ranking of the five criteria? b.What is the overall ranking of the three universities? Like many high school seniors, Anne has several universities to consider when making her final college choice. To assist in her decision, she has decided to use AHP to develop a ranking for school R, school P, and school M. The schools will be evaluated on five criteria, and Anne's pair-wise comparison matrix for the criteria is shown below.   ​ The universities' pair-wise comparisons on the criteria are shown below.           ​  a.What is the overall ranking of the five criteria? b.What is the overall ranking of the three universities? Like many high school seniors, Anne has several universities to consider when making her final college choice. To assist in her decision, she has decided to use AHP to develop a ranking for school R, school P, and school M. The schools will be evaluated on five criteria, and Anne's pair-wise comparison matrix for the criteria is shown below.   ​ The universities' pair-wise comparisons on the criteria are shown below.           ​  a.What is the overall ranking of the five criteria? b.What is the overall ranking of the three universities? ​ a.What is the overall ranking of the five criteria? b.What is the overall ranking of the three universities?

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The goal programming approach can be used when an analyst is confronted with an infeasible solution to an ordinary linear program.

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The priority matrix shows the priority for each item on each criterion.

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The constraint 5x1 + 3x2 ≤ 150 is modified to become a goal equation, and priority one is to avoid overutilization. Which of the following is appropriate?

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The Lofton Company has developed the following linear programming problem Max x1 + x2 s.t. 2x1 + x2 ≤ 10 2x1 + 3x2 ≤ 24 3x1 + 4x2 ≥ 36 ​ but finds it is infeasible. In revision, Lofton drops the original objective and establishes the three goals Goal 1: Don't exceed 10 in constraint 1. Goal 2: Don't fall short of 36 in constraint 3. Goal 3: Don't exceed 24 in constraint 2. ​ Give the goal programming model and solve it graphically.

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​Why are multicriteria problems of special interest to quantitative analysts?

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Calculating the priority of each criterion in terms of its contribution to the overall goal is known as developing the hierarchy.

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A problem involving only one priority level is not considered a goal programming problem.

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Objectives in multicriteria problems seldom conflict.

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The goal programming problem with the objective function min P1(d1+) +P2(d2−) is initially solved by the computer and the objective function value is 0. What constraint should be added for the second problem?

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​Should the decision maker always accept the alternatives with the highest AHP rating? Explain.

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