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A company must meet the following demands for a product: January. 30 units; Febr

ID: 458191 • Letter: A

Question

A company must meet the following demands for a product: January. 30 units; February, 30 units; Match, 20 units. Demand may be backlogged at a cost of $5/unit/month. All demand must be met by the end of March. Thus, if 1 unit of January demand is met during March, a backlogging cost of 5(2) = $10 is incurred. Monthly production capacity and unit production cost during each month are given in Table 66. A holding cost of $20/unit is assessed on the inventory at the end of each month. a Formulate a balanced transportation problem that could be used to determine how to minimize the total cost (including backlogging, holding, and production costs) of meeting demand. b Use Vogel's method to find a basic feasible solution, c Use the transportation simplex to determine how to meet each month's demand. Make sure to give an interpretation of your optimal solution (for example, 20 units of month 2 demand is met from month 1 production).

Explanation / Answer

a) Please find the matrix for transportation problem

January

February

March

Dummy

Supply

January

400

420

440

0

35

February

425

420

440

0

30

March

420

415

410

0

35

Demand

30

30

20

20

We have added a dummy of 20 to balance the supply and demand.

b) Vogel's method is same as northwest corner method.

January

February

March

Dummy

Supply

January

400

30

420

5

440

0

35

February

425

420

25

440

5

0

30

March

420

415

410

15

0

20

35

Demand

30

30

20

20

c) TPP

January

V1

February

V2

March

V3

Dummy

V4

Supply

January

U1

400

30

420

5

440

0

35

February

U2

425

420

25

440

5

0

30

March

U3

420

415

410

15

0

20

35

Demand

30

30

20

20

u1 = 0

u1 + v1 = 400, v1 = 400                                                                       [c13] = u1 + v3 –c13 = 0+440 – 440 = 0

                                                                                                                  [c14] = u1 + v4 – c14 = 0+ 30 -0 = 30

u1 + v2 = 420, v2 = 420,                                                                      [c21] = u2 + v1 –c21 = 0 + 400 -425 = -25

u2 + v2 = 420, u2 = 0,                                                                           [c24] = u2 + v4 – c24 = 0 + 30 -0 = 30

u2 + v3 = 440, v3 = 440,                                                                      [c31] = u3 + v1 – c31 = -30 +400 – 420 = -50

u3 + v3 = 410, u3 = -30                                                                        [c32] = u3 + v2 – c32 = -30 + 420 – 415 = -25

u3 + v4 = 0, v4 = 30

c24 will enter the bases and c23 will leave the bases.

January

V1

February

V2

March

V3

Dummy

V4

Supply

January

U1

400

30

420

5

440

0

35

February

U2

425

420

25

440

0

5

30

March

U3

420

415

410

20

0

15

35

Demand

30

30

20

20

u1 = 0                                                                                                         [c13] = u1 + v3 – c13 = 0 + 410 -440 = -30

u1 + v1 = 400, v1 = 400                                                                          [c14] = u1 + v4 – c14 = 0 + 0 – 0 = 0

u1 + v2 = 420, v2 = 420                                                                          [c21] = u2 + v1 – c21 = 0 + 400 -425 = -25

u2 + v2 = 420, u2 = 0                                                                              [c23] = u2 + v3 - c23 = 0 + 410 – 440 = -30

u2 + v4 = 0, v4 = 0                                                                                   [c31] = u3 + v1 – c31 = 0 + 400 – 420 = -20

u3 + v4 = 0, u3 = 0                                                                                   [c32] = u3 + v2 – c32 = 0+420 – 415 = 5

u3 + v3 = 410, v3 = 410

c32 will enter the bases and c34 should leave the bases.

January

V1

February

V2

March

V3

Dummy

V4

Supply

January

U1

400

30

420

5

440

0

35

February

U2

425

420

10

440

0

20

30

March

U3

420

415

15

410

20

0

35

Demand

30

30

20

20

u1 = 0                                                                                                       [c13] = u1 + v3 – c13 = 0 + 415 – 440 = -25

u1 + v1 = 400, v1 = 400                                                                        [c14] = u1 + v4 – c14= 0 + 0 – 0 = 0

u1 + v2= 420, v2 = 420                                                                         [c21] = u2 + v1 – c21 = 0 + 400 – 425 = -25

u2 + v2 = 420, u2 = 0                                                                            [c23] = u2 + v3 – c23 = 0 + 415 – 440 = -25

u2 + v4 = 0, v4 = 0                                                                                 [c31] = u3 + v1 – c31 = -5 + 400 – 420 = -25

u3 + v2 = 415, u3 = -5                                                                           [c34] = u3 + v4 – c34 = 0 + 0 – 0 = 0

u3 + v3 = 410, v3 = 415

This means that the tableau is optimal, [c14] =0 and [c34] =0 means that the tableau has alternative solutions.

It shows that the company should produce 35 units in January. It should sell 30 units of them in January and keep remaining 5 units to sell in February. The company also should produce 10 units in February and sell it in this month. In March it should produce 15 units for backlogged demand of February and 20 units for March demand.

Min z= 30*400+5*420+10*420+20*0+15*415+20*410 = 32725

January

February

March

Dummy

Supply

January

400

420

440

0

35

February

425

420

440

0

30

March

420

415

410

0

35

Demand

30

30

20

20

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