A hurricane has been predicted to make landfall in Louisiana. The counties that lie within the path of the storm along with current population estimates are given in Table 1 below.  There are several regional warehouses located in Texas, Alabama and Georgia that have capacity available to lease so that supplies can be prepositioned in advance of the storm.   The lease capacity available at each of the warehouses is 100,000 units of MREs (meals ready-to-eat). The cost to lease each warehouse along with the capacity available is displayed in Table 2. The distance (in miles)  to ship product to each of the counties from each possible warehouse location  is summarized in Table 3. Assume travel cost is proportional to distance traveled.  Formulate a mathematical model that will determine which of the warehouses to use to preposition MREs and the amount shipped from each warehouse to each of the counties to assist those who are in need after the storm.  Assume that 25% of the population will be severely affected by the storm and require  assistance (in terms of MREs)

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ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
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A hurricane has been predicted to make landfall in Louisiana. The counties that lie within the path of the storm along with current population estimates are given in Table 1 below.  There are several regional warehouses located in Texas, Alabama and Georgia that have capacity available to lease so that supplies can be prepositioned in advance of the storm.   The lease capacity available at each of the warehouses is 100,000 units of MREs (meals ready-to-eat). The cost to lease each warehouse along with the capacity available is displayed in Table 2. The distance (in miles)  to ship product to each of the counties from each possible warehouse location  is summarized in Table 3. Assume travel cost is proportional to distance traveled.  Formulate a mathematical model that will determine which of the warehouses to use to preposition MREs and the amount shipped from each warehouse to each of the counties to assist those who are in need after the storm.  Assume that 25% of the population will be severely affected by the storm and require  assistance (in terms of MREs).

 

 

 

 

 

Table 1. Population estimates for affected counties

County

Population

Assumption

22874

Jefferson

443342

Lafourche

93682

Orleans

354850

Plaquemines

20942

St. Bernard

40655

St. Charles

51611

St. James

21054

St. John The Baptist

47086

St. Mary

50815

St. Tammany

231495

Terrebonne

109291

 

 

Table 2. Warehouse Capacity and Cost Information

Warehouse location

Warehouse Capacity

Fixed Cost to lease capacity ($)

  Abilene ,TX

100,000

125,000

  Amarillo ,TX

100,000

125,000

  Austin ,TX

100,000

125,000

 Beaumont,TX

100,000

125,000

  Corpus Christi ,TX

100,000

120,000

  Dallas ,TX

100,000

150,000

  Ft. Worth ,TX

100,000

125,000

  Savannah ,GA

100,000

100,000

  Valdosta ,GA

100,000

100,000

  Chattanooga ,GA

100,000

50,000

  Birmingham ,AL

100,000

120,000

 Huntsville,AL

100,000

110,000

  Montgomery ,AL

100,000

95,000

 

Table 3. Travel Distance in Miles **note, to fit the table on the page, the counties have been numbered d1 to d12 and the warehouses w1-w13.

 

 

d1

d2

d3

d4

d5

d6

d7

d8

d9

d10

d11

d12

w1

610.15

666.77

648.61

671.65

699.80

683.62

651.12

626.16

639.43

596.00

669.83

641.15

w2

810.25

861.22

849.93

865.03

897.08

876.75

846.92

822.97

834.25

800.72

856.11

844.57

w3

450.86

511.21

485.07

517.20

538.63

528.75

494.80

470.22

485.21

431.25

524.68

475.25

w4

202.80

263.23

237.28

269.28

290.74

280.76

246.80

222.35

237.47

183.38

278.51

227.81

w5

463.62

521.44

487.40

528.20

538.33

537.96

505.90

484.88

500.25

439.17

546.65

475.38

w6

440.78

493.51

480.35

497.71

528.64

509.58

478.71

454.36

466.29

430.54

491.68

474.62

w7

470.11

523.31

509.61

527.58

558.26

539.46

508.41

483.97

496.05

459.39

521.91

503.68

W8

683.67

625.59

660.24

618.81

611.28

609.24

641.09

662.46

647.01

707.88

601.45

672.48

W9

522.61

462.81

495.50

456.22

444.35

445.77

478.89

501.78

486.30

545.73

443.25

507.37

W10

547.21

507.98

544.47

501.92

516.38

498.34

517.68

528.36

516.10

571.86

470.68

556.16

W11

390.02

349.75

386.30

343.69

358.58

340.15

359.59

370.82

358.28

414.89

312.56

398.04

W12

469.62

435.18

470.64

429.51

447.74

427.28

443.40

451.75

440.48

493.67

396.93

481.83

W13

364.47

314.49

351.79

307.83

314.19

301.49

327.29

343.65

329.25

389.81

281.56

364.19

 

 

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