MicrosoftВ® Office ExcelВ® 2007: Data Analysis and Business Modeling (Bpg -- Other)
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The following table gives the distances between Boston, Chicago, Dallas, Los Angeles, and Miami. Each city requires 40,000 kilowatt hours (kWh) of power, and Chicago, Dallas, and Miami are capable of producing 70,000 kWh. Assume that shipping 1000 kWh over 100 miles costs $4. From where should power be sent to minimize the cost of meeting each city’s demand?
Open table as spreadsheet Boston
Chicago
Dallas
Los Angeles
Miami
Chicago
983
0
1205
2112
1390
Dallas
1815
1205
0
801
1332
Miami
1539
1390
1332
2757
0
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We produce and sell drugs at several different locations. The decision of where to produce goods for each sales location can have a huge impact on profitability. Our model is similar to the model used in this chapter to determine where drugs should be produced. We’re using the following assumptions:
We produce drugs at six locations and sell to customers in six different areas.
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Tax rate and variable production cost depend on the location where the drug is produced. For example, any units produced at Location 3 cost $6 per unit to produce; profits from these goods are taxed at 20 percent.
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The sales price of each drug depends on where the drug is sold. For example, each product sold in Location 2 is sold for $40.
Open table as spreadsheet Production location
1
2
3
4
5
6
Sales price
$45
$40
$38
$36
$39
$34
Tax rate
29%
40%
20%
40%
35%
18%
Variable production cost
$8
$7
$6
$9
$7
$7
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Each of our six plants can produce up to 6 million units per year.
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The annual demand (in millions) for our product in each location is as follows:
Open table as spreadsheet Sales location
1
2
3
4
5
6
Demand
1
2
3
4
5
6
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The unit shipping cost depends on the plant where the product is produced and the location where the product is sold.
Open table as spreadsheet Sold 1
Sold 2
Sold 3
Sold 4
Sold 5
Sold 6
Plant 1
$3
$4
$5
$6
$7
$8
Plant 2
$5
$2
$6
$9
$10
$11
Plant 3
$4
$3
$1
$6
$8
$6
Plant 4
$5
$5
$7
$2
$5
$5
Plant 5
$6
$9
$6
$5
$3
$7
Plant 6
$7
$7
$8
$9
$10
$4
For example, if we produce a unit at Plant 1 and sell it in Location 3, it costs $5 to ship it.
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How can we maximize after-tax profit with our limited production capacity?
Suppose that each day, northern, central, and southern California each use 100 billion gallons of water. Also assume that northern California and central California have available 120 billion gallons of water, whereas southern California has 40 billion gallons of water available. The cost of shipping one billion gallons of water between the three regions is as follows:
Open table as spreadsheet Northern
Central
Southern
Northern
$5,000
$7,000
$10,000
Central
$7,000
$5,000
$6,000
Southern
$10,0000
$6,000
$5,000
We will not be able to meet all demand for water, so we assume that each billion gallons of unmet demand incurs the following shortage costs:
Open table as spreadsheet Northern
Central
Southern
Shortage cost/billion gallons short
$6,000
$5,500
$9,000
How should California’s water be distributed to minimize the sum of shipping and shortage costs?
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