Linear objective functions and linear constraints
problem #10, p. 252 [1]
a. and b.
--- Excel and Frontline Solver ---
Data | |||||
Componet | Hotel | Restaurant | Market | ||
Decision | 10000 | 32500 | 30000 | ||
wholesale Price | 1.25 | 1.5 | 1.4 | Total sales = | 103250 |
Component | Hotel | Restaurant | Market | Cost Per Pound | Max num |
Robusta | 20% | 35% | 10% | $0.60 | 40000 |
Javan Arabica | 40% | 15% | 35% | $0.80 | 25000 |
Liberica | 15% | 20% | 40% | $0.55 | 20000 |
Brazilian Arabica | 25% | 30% | 15% | $0.70 | 45000 |
Minimum | 10000 | 25000 | 30000 | No more than | 100000 |
Constraints | Hotel | Restaurant | Market | Each bean total | Each bean expense |
Robusta | 2000 | 11375 | 3000 | 16375 | $9,825.00 |
Javan Arabica | 4000 | 4875 | 10500 | 19375 | $15,500.00 |
Liberica | 1500 | 6500 | 12000 | 20000 | $11,000.00 |
Brazilian Arabica | 2500 | 9750 | 4500 | 16750 | $11,725.00 |
Each brand total | 10000 | 32500 | 30000 | Total Expense = | $48,050.00 |
Bean total= | 72500 |
a.
The
company should buy 16375 pounds Robusta, 19375 pounds Javan Arabica, 20000
poundsLiberrica,
and 16750 pounds Brazilian Arbica.
b.
According
to solver's solution, only Liberica reach max
weekly availability, so Liberica is the economic
value componet. However, the
number of Liberica already reach maximum number. There is no
economic
value of an additional pound's worth of plant capacity.
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c.
--- Excel and Frontline Solver ---
Data | |||||
Componet | Hotel | Restaurant | Market | ||
Decision | 10000 | 32505 | 30000 | ||
wholesale Price | 1.25 | 1.5 | 1.4 | Total sales = | 103257.5 |
Component | Hotel | Restaurant | Market | Cost Per Pound | Max num |
Robusta | 20% | 35% | 10% | $0.60 | 40000 |
Javan Arabica | 40% | 15% | 35% | $0.80 | 25000 |
Liberica | 15% | 20% | 40% | $0.55 | 20001 |
Brazilian Arabica | 25% | 30% | 15% | $0.70 | 45000 |
Minimum | 10000 | 25000 | 30000 | No more than | 100000 |
Constraints | Hotel | Restaurant | Market | Each bean total | Each bean expense |
Robusta | 2000 | 11376.75 | 3000 | 16376.75 | $9,826.05 |
Javan Arabica | 4000 | 4875.75 | 10500 | 19375.75 | $15,500.60 |
Liberica | 1500 | 6501 | 12000 | 20001 | $11,000.55 |
Brazilian Arabica | 2500 | 9751.5 | 4500 | 16751.5 | $11,726.05 |
Each brand total | 10000 | 32505 | 30000 | Total Expense = | $48,053.25 |
Bean total = 72505
Profits = $55,204.25
Previous | Add one pound | ||||
Liberica | 20000 | 20001 | |||
Profits | 55200 | 55204.25 | value = | 4.25 | |
4.25 + 0.55 = | 4.8 |
The
company can earn more $4.25 than before, but Solver
already minus 0.55 as additional pound ofs
Liberica's expense. Thus, if the
company want to earn more money, the company should pay less than $4.8.
d.
Data | ||||||
Component | Hotel | Restaurant | Market | |||
Decision | 20000 | 25000 | 30000 | |||
wholesale Price | 1.25 | 1.5 | 1.4 | Total sales = | 104500 | |
Component | Hotel | Restaurant | Market | Cost Per Pound | Max num | |
Robusta | 20% | 35% | 10% | $0.60 | 40000 | |
Javan Arabica | 40% | 15% | 35% | $0.80 | 25000 | |
Liberica | 15% | 20% | 40% | $0.55 | 20000 | |
Brazilian Arabica | 25% | 30% | 15% | $0.70 | 45000 | |
Minimum | 25000 | 25000 | 30000 | No more than | 100000 | |
Constraints | Hotel | Restaurant | Market | Each bean total | Each bean expense | |
Robusta | 4000 | 8750 | 3000 | 15750 | $9,450.00 | |
Javan Arabica | 8000 | 3750 | 10500 | 22250 | $17,800.00 | |
Liberica | 3000 | 5000 | 12000 | 20000 | $11,000.00 | |
Brazilian Arabica | 5000 | 7500 | 4500 | 17000 | $11,900.00 | |
Each brand total | 20000 | 25000 | 30000 |
Total
Expense
|
$50,150.00 | |
Bean total= |
75000 | |||||
Profits = | $54,350.00 | |||||
Hotel Minimum | 0 | 5000 | 10000 | 15000 | 20000 | 25000 |
Profits | 56050 | 55625 | 55200 | 54775 | 54350 | 54350 |
e.
Data | ||||||
Componet | Hotel | Restaurant | Market | |||
Decision | 10000 | 32500 | 30000 | |||
wholesale Price | 1.25 | 1.5 | 1.4 | Total sales = | 103250 | |
Component | Hotel | Restaurant | Market | Cost Per Pound | Max num | |
Robusta | 20% | 35% | 10% | $1.20 | 40000 | |
Javan Arabica | 40% | 15% | 35% | $0.80 | 25000 | |
Liberica | 15% | 20% | 40% | $0.55 | 20000 | |
Brazilian Arabica | 25% | 30% | 15% | $0.70 | 45000 | |
Minimum | 10000 | 25000 | 30000 | No more than | 100000 | |
Constraints | Hotel | Restaurant | Market | Each bean total | Each bean expense | |
Robusta | 2000 | 11375 | 3000 | 16375 | $19,650.00 | |
Javan Arabica | 4000 | 4875 | 10500 | 19375 | $15,500.00 | |
Liberica | 1500 | 6500 | 12000 | 20000 | $11,000.00 | |
Brazilian Arabica | 2500 | 9750 | 4500 | 16750 | $11,725.00 | |
Each brand total | 10000 | 32500 | 30000 | Total Expense | $57,875.00 | |
Bean total= | 72500 | |||||
Profits = | $45,375.00 | |||||
Robusta | ||||||
Cost Per Pound | 0.20 | 0.40 | 0.60 | 0.80 | 1.00 | 1.20 |
Profits | 61,750.00 | 58,475.00 | 55,200.00 | 51,925.00 | 48,650.00 | 45,375.00 |
Reference:
[1] Powell, Stephen G. Management Science: The Art Of Modeling With Spreadsheets, 4Th Edition. 1st ed. John Wiley & Sons, 2013. Print.
[1] Powell, Stephen G. Management Science: The Art Of Modeling With Spreadsheets, 4Th Edition. 1st ed. John Wiley & Sons, 2013. Print.
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