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SunNet is a residential Internet Service Provider (ISP) in the central Florida a

ID: 3687315 • Letter: S

Question

SunNet is a residential Internet Service Provider (ISP) in the central Florida area. Presently, the company operates one centralized facility that all of its clients call into for Internet access. To improve service, the company is planning to open three satellite offices in the cities of Pine Hills, Eustis, and Sanford. The company has identified five different regions to be serviced by these three offices. The following table summarizes the number of customers in each region, the service capacity at each office, and the average monthly per customer cost of providing service to each region from each office. Table entries of n.a. indicate infeasible region-to-service-center combinations. SunNet would like to determine how many customers from each region to assign to each service center to minimize cost.


a. Draw a network flow model to represent this problem.
b. Implement your model in Excel and solve it.
c. What is the optimalsolution?

Explanation / Answer

            SunNet is a residential Internet Service Provider (ISP) in the central Florida area. Presently, the company operates one centralized facility that all of its clients call into for Internet access. To improve service, the company is planning to open three satellite offices in the cities of Pine Hills, Eustis, and Sanford. The company has identified five different regions to be serviced by these three offices. The following table summarizes the number of customers in each region, the service capacity at each office, and the average monthly per customer cost of providing service to each region from each office. Table entries of n.a. indicate infeasible region-to-service-center combinations. SunNet would like to determine how many customers from each region to assign to each service center to minimize cost.

Region

Pine Hills

Eustis

Sanford

Customers

1

2

3

4

5

Capacity

$6.50

$7.00

$8.25

n.a

n.a.

60,000

$7.50

$8.00

$7.25

$7.75

$7.50

70,000

n.a

n.a

$6.75

$7.00

$6.75

40,000

30,000

40,000

25,000

35,000

33,000

Subject to:       X11+X12+X13                                                                                                                    =          30,000

                                    X21+X22+X23                                                                       =          40,000

                                                X31+X32+X33                                                           =          25,000

                                                                        X41+X42+X43                                   =          35,000

                                                                                                X51+X52+X53           =          33,000

-X11     -X21       -X31       -X41     -X51                                                                               =          60,000

                -X12        -X22       -X32       -X42       -X52                                                                       =          70,000

                                -X13        -X23       -X33       -X43       -X53                                                       =          40,000

                                   

What is optimal solution?

            Alternative or approach that best fits the situation, employs resources in a most effective and efficient manner, and yields the highest possible return under the circumstances. Any tinkering with an optimum decision makes it only worse. Very few optimal solutions can be found by statistical analysis or formulae, most require cut-and-try (experimental) approach.


The Excel Solution on progress.

               

                                                                               

Region

Pine Hills

Eustis

Sanford

Customers

1

2

3

4

5

Capacity

$6.50

$7.00

$8.25

n.a

n.a.

60,000

$7.50

$8.00

$7.25

$7.75

$7.50

70,000

n.a

n.a

$6.75

$7.00

$6.75

40,000

30,000

40,000

25,000

35,000

33,000

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