Formulate the lp model for given problem


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Given the following Solver output what range of values can the objective function coefficient for variable X1 assume without changing the optimal solution?

Changing Cells

 

 

 

 

 

 


 

 

 

Final

Reduced

Objective

Allowable

Allowable


 

Cell

Name

Value

Cost

Coefficient

Increase

Decrease


 

$B$4

Number to make: X1

9.49

0

5

1.54

1


 

$C$4

Number to make: X2

1.74

0

6

1.5

1.47


 

 

 

 

 

 

 

 


Constraints

 

 

 

 

 

 


 

 

 

Final

Shadow

Constraint

Allowable

Allowable


 

Cell

Name

Value

Price

R.H. Side

Increase

Decrease


 

$D$8

Used

42

0

48

1E+30

6


 

$D$9

Used

132

0.24

132

12

12


 

$D$10

Used

24

1.24

24

1.33

2


Give answers with two digits to the right of the decimal point, e.g. 1.00

Q1. Bottom of range 

Q2. Top of range 

Consider the following linear programming model and Solver output.  What is the optimal objective function value if the RHS of the first constraint increases to 18? (Give answer with one digit to right of decimal point, e.g., 1.0)

      MAX:              7 X1 + 4 X2

Subject to:             2 X1 + X2 £ 16

            X1 + X2 £ 10

            2 X1 + 5 X2 £ 40

            X1, X2 ³ 0

Changing Cells

 

 

 

 

 

 


 

 

 

Final

Reduced

Objective

Allowable

Allowable


 

Cell

Name

Value

Cost

Coefficient

Increase

Decrease


 

$B$4

Number to make: X1

6

0

7

1

3


 

$C$4

Number to make: X2

4

0

4

3

0.5


 

 

 

 

 

 

 

 


Constraints

 

 

 

 

 

 


 

 

 

Final

Shadow

Constraint

Allowable

Allowable


 

Cell

Name

Value

Price

R.H. Side

Increase

Decrease


 

$D$8

Used

16

3

16

4

2.67


 

$D$9

Used

10

1

10

1

2


 

$D$10

Used

32

0

40

1E+30

8


Q3. Optimal objective function value = 

The Happy Pet pet food company produces dog and cat food. Each food is comprised of meat, soybeans and fillers.  The company earns a profit on each product but there is a limited demand for them.  The pounds of ingredients required and available, profits and demand are summarized in the following table.  The company wants to plan their product mix, in terms of the number of bags produced, in order to maximize profit . 

 

 

Product

 

Profit per Bag ($)

 

Demand for product

 

Pounds of Meat per bag

Pounds of Soybeans per bag

Pounds of Filler per bag


Dog food

4

40

4

6

4


Cat food

5

30

5

3

10


 

 

Material available (pounds)

100

120

160


 

 

 

 

 

 


Formulate the LP model for this problem, assuming decision variables are:

X1 = bags of Dog food to produce

X2 = bags of Cat food to produce

Give WHOLE NUMBERS for answers to the questions relating to this LP (e.g.2)

What values are in the constraint for meat (___x1 +___x2 <= ___)?

Q4. LHS coefficient for x1

Q5. LHS coefficient for x2

Q6 RHS value

What is the constraint for soybeans?

Q7. LHS coefficient for x1 

Q8. LHS coefficient for x2 

Q9 RHS value

What is the constraint for Filler?

Q10. LHS coefficient for x1 

Q11. LHS coefficient for x2 

Q12 RHS value

What is the constraint for Dog food demand?

Q13. LHS coefficient for x1 

Q14 LHS coefficient for x2 

Q15 RHS value 

What is the constraint for Cat food demand?

Q16. LHS coefficient for x1 

Q17. LHS coefficient for x2

Q18RHS value

What is are the objective function coefficients

Q19 For x1 

Q20 For x2 

Q21 What is the optimal objective function value

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