Academic Integrity: tutoring, explanations, and feedback — we don’t complete graded work or submit on a student’s behalf.

#1 West Fuel produces a special fuel system component at its three plants. The c

ID: 3046079 • Letter: #

Question

#1 West Fuel produces a special fuel system component at its three plants. The company currently has orders from four customers. After considering relevant costs, West Fuel can expect the following per-unit profit for each plant-customer alternative. Plant 1 Plant 2 Plant 3 Customer 1 Customer 2 Customer 3 Customer 4 $20 $19 $16 $17 $17 $15 816 $17 The manufacturing capacities during the current production period are: Plant 1, 5,000 units; Plant 2, 2,500 units; Plant 3, 4,000 units. The customer demands are: Customer 1, 2,000 units; Customer 2, 3,500 units; Customer 3, 4,500 units; Customer 4, 3,000 units. Develop a transportation model that WestFuel can use to determine how many units each plant should ship to each customer, with the goal of maximizing total profit. To properly formulate the model, compute the total production capacity and the total demand, and incorporate this information into the model as needed. You do not need to solve the LP. #2 A local television station has three weekday time slots for which it is trying to choose a programming lineup. The station's programming manager has developed a list of five available program choices. Each program may air, at most, one time. Using previous data, the station's financial manager has projected the advertising revenue for each program in each time slot, as given in the table below. 2:30-3:00 p.m. 3:00-3:30 p.m. 3:30-4:00 p.m. Judge Julie The Bite Wheel of Winning Dr. Rozz Connect Hollywood $7,400 $8,100 $8,300 S7,300 S6,500 $7,000 $5,600 $5,500 $7,100 $5,700 $7,600 86,200 S6,600 6,300 8, 100 Formulate a binary programming model that can be used to determine the schedule of prograns that will maximize the total projected advertising revenue. You do not ned to solve the LP

Explanation / Answer

#1. The given data in terms of per unit profit in $ along with customer demands and plant capacity is expressed as follows:

Customer

Plant

1

2

3

4

Capacity

1

16

17

16

20

1500

2

17

15

14

19

2500

3

18

16

17

20

4000

4

0

0

0

0

5000

Demand

2000

3500

4500

3000

13000

The given problem was unbalanced and therefore dummy plant 4 is added with capacity 5000 units so that revised problem is now balanced.

As transportation algorithm is developed for minimization, therefore let us obtain another matrix by subtracting all profit values from Maximum Profit = 20 $

  

Customer (Cij)

Plant

1

2

3

4

Capacity

1

4

3

4

0

1500

2

3

5

6

1

2500

3

2

4

3

0

4000

4

20

20

20

20

5000

Demand

2000

3500

4500

3000

13000

Let us write the matrix of transportation allocation in terms of unknowns X’s as follows:

Customer

Plant

1

2

3

4

Capacity

1

X11

X12

X13

X14

1500

2

X21

X22

X23

X24

2500

3

X31

X32

X33

X34

4000

4

X41

X42

X43

X44

5000

Demand

2000

3500

4500

3000

13000

Now our object function is         Z = Cij*Xij

With conditions,

X11+X12+X13+X14=1500

X21+X22+X23+X24=2500

X31+X32+X33+X34=4000

X41+X42+X43+X44=5000

X11+X21+X31+X41=2000

X12+X22+X32+X42=3500

X13+X23+X33+X43=4500

X14+X24+X34+X44=3000

Xij 0

#2.

The given data in terms of revenue per advertising revenue in $ of five programs as follows:

Time Slots

Program

2.30 to 3.00

3.00 to 3.30

3.30 to 4.00

4.00 to 4.30

4.30 to 5.00

1

7400

7000

7600

0

0

2

8100

5600

6200

0

0

3

8300

5500

6600

0

0

4

7300

7100

6300

0

0

5

6500

5700

8100

0

0

The given problem was unbalanced and therefore dummy time slots viz. 4.00 to 4.30 and 4.30 to 5.00 is added so that revised problem is now balanced.

Algorithm for binary programming problem or assignment problem developed for minimization, therefore let us obtain another matrix by subtracting all revenue values from Maximum Profit = 8300 $

Time Slots (Cij)

Program

2.30 to 3.00

3.00 to 3.30

3.30 to 4.00

4.00 to 4.30

4.30 to 5.00

1

900

1300

700

8300

8300

2

200

2700

2100

8300

8300

3

0

2800

1700

8300

8300

4

1000

1200

2000

8300

8300

5

1800

2600

200

8300

8300

Let us write the matrix of binary allocation in terms of unknowns X’s as follows:

Time Slots

Program

2.30 to 3.00

3.00 to 3.30

3.30 to 4.00

4.00 to 4.30

4.30 to 5.00

1

X11

X12

X13

X14

X15

2

X21

X22

X23

X24

X25

3

X31

X32

X33

X34

X35

4

X41

X42

X43

X44

X45

5

X51

X52

X53

X54

X55

Where each Xij is either 1 if program at that time slot is broadcasted otherwise 0.

Now our object function is         Z = Cij*Xij

With conditions,

X11+X12+X13+X14+X15=1

X21+X22+X23+X24+X25=1

X31+X32+X33+X34=X35=1

X41+X42+X43+X44+X45=1

X51+X52+X53+X54+X55=1

X11+X21+X31+X41+X51=1

X12+X22+X32+X42+X52=1

X13+X23+X33+X43+X53=1

X14+X24+X34+X44+X54=1

X15+X25+X35+X45+X55=1

Xij 0

Customer

Plant

1

2

3

4

Capacity

1

16

17

16

20

1500

2

17

15

14

19

2500

3

18

16

17

20

4000

4

0

0

0

0

5000

Demand

2000

3500

4500

3000

13000