Exam 4: Sensitivity Analysis and the Simplex Method
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Is the optimal solution to this problem unique,or is there an alternate optimal solution? Explain your reasoning.
MAX 5 X1 + 2 X2
Subject to: 3 X1 + 5 X2 ≤ 15
10 X1 + 4 X2 ≤ 20 X1,X2 ≥ 0


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A manager should consider how sensitive the model is to changes in all of the following except
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Exhibit 4.1
The following questions are based on the problem below and accompanying Analytic Solver Platform sensitivity report.
Carlton construction is supplying building materials for a new mall construction project in Kansas.Their contract calls for a total of 250,000 tons of material to be delivered over a three-week period.Carlton's supply depot has access to three modes of transportation: a trucking fleet,railway delivery,and air cargo transport.Their contract calls for 120,000 tons delivered by the end of week one,80% of the total delivered by the end of week two,and the
entire amount delivered by the end of week three.Contracts in place with the transportation companies call for at least 45% of the total delivered be delivered by trucking,at least 40% of the total delivered be delivered by railway,and up to 15% of the total delivered be delivered by air cargo.Unfortunately,competing demands limit the availability of each mode of transportation each of the three weeks to the following levels all in thousands of tons):
Week TruckingLimits Railway Limits Air Cargo Limits 1 45 60 15 2 50 55 10 3 55 45 5 Costs \ per 1000 tons) \ 200 \ 140 \ 400
The following is the LP model for this logistics problem.
Let Xij = amount shipped by mode i in week j
where i = 1Truck),2Rail),3Air)and j = 1,2,3
Let WLij = weekly limit of mode i in week j as provided in above table)
200X11 + X12 + X13)+ 140X21 + X22 + X23)+ 500X31 +
MIN:
X + X )
Subject to:
32 33
Xij ? WL ij for all i and j Weekly limits by mode
X11 + X12 + X13 + X21 + X22 + X23 + X31 + X32 + X33 ? 250
Total at end of three weeks
X11 + X21 + X31 + X12 + X22 + X32 ? 200 Total at end of two weeks X11 + X21 + X31 ? 120 Total at end of first week
X11 + X12 + X13 ? 0.45*250 Truck mix requirement
X21 + X22 + X23 ? 0.40*250 Rail mix requirement
X31 + X32 + X33 ? 0.15*250 Air mix limit Xij ? 0 for all i and j
Final Reduced Objective Allowable Allowable Value Cost Coefficient Increase Decrease Cell Name \ \ 6 Week 1 by Truck 45 0 200 360 1+30 \ \ 6 Week 1 by Rail 60 0 140 360 1+30 \ \ 6 Week 1 by Air 15 0 500 1+30 360 \ \ 7 Week 2 by Truck 50 0 200 0 1+30 \ \ 7 Week 2 by Rail 55 0 140 0 1+30 \ \ 7 Week 2 by Air 0 360 500 1+30 360 \ \ 8 Week 3 by Truck 13 0 200 1+30 0 \ \ 8 Week 3 by Rail 12 0 140 60 0 \ F\ 8 Week 3 by Air 0 360 500 1+30 360
-Refer to Exhibit 4.1.Are there alternate optimal solutions to this problem?

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Exhibit 4.2
The following questions correspond to the problem below and associated Analytic Solver Platform sensitivity report.
Robert Hope received a welcome surprise in this management science class;the instructor has decided to let each person define the percentage contribution to their grade for each of the graded instruments used in the class.These instruments were: homework,an individual project,a mid-term exam,and a final exam.Robert's grades on these instruments were 75,94,85,and 92,respectively.However,the instructor complicated Robert's task somewhat by adding the following stipulations:
· homework can account for up to 25% of the grade,but must be at least 5% of the grade;
· the project can account for up to 25% of the grade,but must be at least 5% of the grade;
· the mid-term and final must each account for between 10% and 40% of the grade but cannot account for more than 70% of the grade when the percentages are combined;and
· the project and final exam grades may not collectively constitute more than 50% of the grade.The following LP model allows Robert to maximize his numerical grade.
Let W1 = weight assigned to homework W2 = weight assigned to the project W3 = weight assigned to the mid-term W4 = weight assigned to the final
MAX: 75W1 + 94W2 + 85W3 + 92W4
Subject to: W1 + W2 + W3 + W4 = 1
W3 + W4 ≤ 0.70 W3 + W4 ≥ 0.50 0.05 ≤ W1 ≤ 0.25
0.05 ≤ W2 ≤ 0.25
0.10 ≤ W3 ≤ 0.40
0.10 ≤ W4 ≤ 0.40
-Refer to Exhibit 4.2.Based on the Analytic Solver Platform sensitivity report information,is there anything Robert can request of his instructor to improve his final grade?

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How many basic variables are there in a linear programming model which has n variables and m constraints?
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When a solution is degenerate the reduced costs for the changing cells
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Meaningful Analytic Solver Platform ASP)sensitivity report headings can be defined
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Consider the formulation below.How many decision variables will be there after the problem has been converted to a standard form?
MAX: 8 X1 + 4 X2
Subject to: 5 X1 + 5 X2 ≤ 20
6 X1 + 2 X2 ≤ 18 X1,X2 ≥ 0
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Given an objective function value of 150 and a shadow price for resource 1 of 5,if 10 more units of resource 1 are added assuming the allowable increase is greater than 10),what is the impact on the objective function value?
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All of the following are true about a variable with a negative reduced cost in a maximization problem except
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Use slack variables to rewrite this problem so that all its constraints are equality constraints.


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A change in the right hand side of a binding constraint may change all of the following except
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