Is my solution correct and did I fully answer the questions? (see attachment for my solution) Question: There are three factories on Momiss River. Each emits two types of pollutants, labeled P1  and P2, into the river. If the waste from each factory is processed, the pollution in the river can be reduced. It costs $1,500 to process a ton of factory 1 waste, and each ton processed reduces the amount of P1 by 0.10 ton and the amount of P2 by 0.45 ton. It costs $2,500 to process a ton of factory 2 waste, and each ton processed reduces the amount of P1 by 0.20 ton and the amount of P2 by 0.25 ton. It costs $3,000 to process a ton of factory 3 waste, and each ton processed reduces the amount of P1  by 0.40 ton and the amount of P2 by 0.50 ton. The state wants to reduce the amount of P1 in the river by at least 125 tons and the amount of P2 by at least 175 tons. a. Use Solver to determine how to minimize the cost of reducing pollution by the desired amounts.  Are the LP assumptions (proportionality, additivity, divisibility) reasonable in this problem? b. Use SolverTable to investigate the effects of increases in the minimal reductions required by the state. Specifically, see what happens to the amount of waste processed at the three factories and the total cost if both requirements (currently 125 and 175 tons, respectively) are increased by the same percentage. Revise your model so that you can use SolverTable to investigate these changes when the percentage increase varies from 10% to 100% in increments of 10%. Do the amount processed at the three factories and the total cost change in a linear manner?

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
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Is my solution correct and did I fully answer the questions? (see attachment for my solution)

Question: There are three factories on Momiss River. Each emits two types of pollutants, labeled P and P2, into the river. If the waste from each factory is processed, the pollution in the river can be reduced. It costs $1,500 to process a ton of factory 1 waste, and each ton processed reduces the amount of Pby 0.10 ton and the amount of Pby 0.45 ton. It costs $2,500 to process a ton of factory 2 waste, and each ton processed reduces the amount of Pby 0.20 ton and the amount of Pby 0.25 ton. It costs $3,000 to process a ton of factory 3 waste, and each ton processed reduces the amount of P by 0.40 ton and the amount of Pby 0.50 ton. The state wants to reduce the amount of Pin the river by at least 125 tons and the amount of P2 by at least 175 tons.

a. Use Solver to determine how to minimize the cost of reducing pollution by the desired amounts.  Are the LP assumptions (proportionality, additivity, divisibility) reasonable in this problem?

b. Use SolverTable to investigate the effects of increases in the minimal reductions required by the state. Specifically, see what happens to the amount of waste processed at the three factories and the total cost if both requirements (currently 125 and 175 tons, respectively) are increased by the same percentage. Revise your model so that you can use SolverTable to investigate these changes when the percentage increase varies from 10% to 100% in increments of 10%. Do the amount processed at the three factories and the total cost change in a linear manner?

1
Calibri
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Open recovered workbooks? Your recent changes were saved. Do you want to ce
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-xv fx
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River pollutants
F1
Processed
57.6923077
298.0769231
0
2500
cost per ton
1500
3000
980769.231 Total cost
F1
Reduction
Required
125
Pollutant 1
0.1
0.2
0.4
125 >
Pollutant 2
0.45
0.25
0.5
175
X
175
9
10
12 work. Still, it is reasonable that these assumptions hold.
11 The proportionality and additivity assumptions may seem to cause doubt due to the way that chemical reactions
13
14 % change in reqirements
Processed 1
63.46
Processed 2 Processed 3
0.00
15
10%
Cost
327.88
357.69
1078846.15
1176923.08
20%
69.23
0.00
30%
75.00
0.00
387.50
1275000.00
40%
80.77
0.00
1373076.92
417.31
447.12
50%
86.54
0.00
1471153.85
60%
92.31
0.00
476.92
1569230.77
70%
98.08
1667307.69
80%
103.85
0.00
0.00
0.00
0.00
506.73
536.54
566.35
1765384.62
90%
109.62
1863461.54
100%
115.38
596.15 1961538.46
10%
5.77
0.00
29.81
98076.92
10%
5.77
0.00
29.81
98076.92
10%
5.77
0.00
29.81
98076.92
10%
5.77
0.00
29.81
98076.92
10%
5.77
0.00
29.81
98076.92
10%
5.77
0.00
29.81
98076.92
10%
5.77
0.00
29.81
98076.92
10%
5.77
0.00
29.81
98076.92
10%
5.77
0.00
29.81
98076.92
by the same value each time.
The results change in a linear manner as shown above because each column above changes
Waste that will be treated at factory 1 increases by 5.77 tons for every 10% increase in reduction of both the pollutants.
Waste that will be treated at factory 3 increases by 29.81 tons for every 10% increase in reduction of both the pollutants.
Answer Report 1
Sensitivity Report 1
Answer Report 2
Sensitivity Report 2
JUN
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4
5
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8
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Transcribed Image Text:1 Calibri ✓ 11 V A A • Α' Α΄ 0 Paste BI UV A v Open recovered workbooks? Your recent changes were saved. Do you want to ce 22 X -xv fx A B C D E F G H River pollutants F1 Processed 57.6923077 298.0769231 0 2500 cost per ton 1500 3000 980769.231 Total cost F1 Reduction Required 125 Pollutant 1 0.1 0.2 0.4 125 > Pollutant 2 0.45 0.25 0.5 175 X 175 9 10 12 work. Still, it is reasonable that these assumptions hold. 11 The proportionality and additivity assumptions may seem to cause doubt due to the way that chemical reactions 13 14 % change in reqirements Processed 1 63.46 Processed 2 Processed 3 0.00 15 10% Cost 327.88 357.69 1078846.15 1176923.08 20% 69.23 0.00 30% 75.00 0.00 387.50 1275000.00 40% 80.77 0.00 1373076.92 417.31 447.12 50% 86.54 0.00 1471153.85 60% 92.31 0.00 476.92 1569230.77 70% 98.08 1667307.69 80% 103.85 0.00 0.00 0.00 0.00 506.73 536.54 566.35 1765384.62 90% 109.62 1863461.54 100% 115.38 596.15 1961538.46 10% 5.77 0.00 29.81 98076.92 10% 5.77 0.00 29.81 98076.92 10% 5.77 0.00 29.81 98076.92 10% 5.77 0.00 29.81 98076.92 10% 5.77 0.00 29.81 98076.92 10% 5.77 0.00 29.81 98076.92 10% 5.77 0.00 29.81 98076.92 10% 5.77 0.00 29.81 98076.92 10% 5.77 0.00 29.81 98076.92 by the same value each time. The results change in a linear manner as shown above because each column above changes Waste that will be treated at factory 1 increases by 5.77 tons for every 10% increase in reduction of both the pollutants. Waste that will be treated at factory 3 increases by 29.81 tons for every 10% increase in reduction of both the pollutants. Answer Report 1 Sensitivity Report 1 Answer Report 2 Sensitivity Report 2 JUN 2 2 3 4 5 6 7 8 56 16 17 18 19 20 21 22 23 24 25 26 Differences 27 28 29 S 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 Ready O F2 F2 F3 F3
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