Question

Consider the following linear programming model with 4 regular constraints: Maximize 3X + 5Y subject to:...

Consider the following linear programming model with 4 regular constraints: Maximize 3X + 5Y subject to: 4X + 4Y ≤ 48 (constraint #1) 2X + 3Y ≤ 50 (constraint #2) 1X + 2Y ≤ 20 (constraint #3) Y ≥ 2 (constraint #4) X, Y ≥ 0 (non-negativity constraints) (a) Which of the constraints is redundant? Constraint #____. Justify using the data from the above LP model: ________________________________________________________________________ ________________________________________________________________________ ________________________________________________________________________ (b) Is solution point (10,5) a feasible solution? _____. Explain using the data from above LP model: ________________________________________________________________________ ________________________________________________________________________ (c) Which of the following points yields the best solution? Underline the best one: (7, 5), (2, 8), (6, 6). Justify your answer using the data from the above LP model: ________________________________________________________________________ ________________________________________________________________________ ________________________________________________________________________

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Consider the following Linear Programming model: Maximize x+2.5y Subject to x+3y<=12 x+2y<=11 x-2y<=9 x-y>=0 x+5y<=15 x>=0...
Consider the following Linear Programming model: Maximize x+2.5y Subject to x+3y<=12 x+2y<=11 x-2y<=9 x-y>=0 x+5y<=15 x>=0 y>=0 (a) Draw the feasible region for the model, but DO NOT draw the objective function. Without graphing the objective function, find the optimal solution(s) and the optimal value. Justify your method and why the solution(s) you obtain is (are) optimal. (4 points) (b) Add the constraint “x+5y>=15” to the Linear Programming model. Is the optimal solution the same as the one in (a)?...
Consider the following linear programming problem. Maximize P = 3x + 9y subject to the constraints...
Consider the following linear programming problem. Maximize P = 3x + 9y subject to the constraints 3x + 8y ≤ 1 4x − 5y ≤ 4 2x + 7y ≤ 6  x ≥ 0, y ≥  0 Write the initial simplex tableau. x y s1 s2 s3 P Constant 1 4 6 0
Consider the following linear programming problem. Maximize P = 4x + 6y + 9z subject to...
Consider the following linear programming problem. Maximize P = 4x + 6y + 9z subject to the constraints    2x + 3y + z ≤ 900 3x + y + z ≤ 350 4x + 2y + z ≤ 400  x ≥ 0, y ≥  0, z ≥  0 Write the initial simplex tableau. x y z s1 s2 s3 P Constant 900 350 400 0
The following constraints of a linear programming model have been graphed on the graph paper provided...
The following constraints of a linear programming model have been graphed on the graph paper provided to form a feasible region: 2X    + 6Y     >=    120 10X + 2Y     > =   200 X      +     Y     <=    120 X                     <=    100                  Y    <=      80 X,Y                  >=        0 Using the graphical method, determine the optional solution and the objective function value for the following objective functions. Graph the objective function as a dashed line on the feasible region described by the...
The following constraints of a linear programming model have been graphed on the graph paper provided...
The following constraints of a linear programming model have been graphed on the graph paper provided (same constraints found in problem #3) to form a feasible region: 2X    + 6Y     >=    120 10X + 2Y     > =   200 X      +     Y     <=    120 X                     <=    100                  Y    <=      80 X,Y                  >=        0 Using the graphical method, determine the optional solution and the objective function value for the following objective functions. Graph the objective function as a dashed line on...
Solve the following linear programming model by using the graphical method: graph the constraints and identify...
Solve the following linear programming model by using the graphical method: graph the constraints and identify the feasible region. Using the corner points method, determine the optimal solution (s) (show your work). Maximize Z = 6.5x1 + 10x2 Subject to x1 + x2 ≤ 15 2x1 + 4x2 ≤ 40 x1 ≥ 8 x1, x2 ≥ 0 b. If the constraint x1 ≥ 8 is changed to x1 ≤ 8, what effect does this have on the optimal solution? Are...
Question 5 options: Consider the following integer linear programming problem: Max Z =       3x +...
Question 5 options: Consider the following integer linear programming problem: Max Z =       3x + 2y Subject to:    3x + 5y ? 30 4x + 2y ? 28                     x ? 8                     x , y ? 0 and integer The solution to the linear programming formulation is: x = 5.714, y = 2.571. What is the optimal solution to the integer linear programming problem? State the optimal values of decision variables and the value of the objective function.
Consider the following linear programming problem Manimize $2Y + $5X Subject To 5Y + 10X ≥...
Consider the following linear programming problem Manimize $2Y + $5X Subject To 5Y + 10X ≥ 90 Constraint A 3Y + 9X ≥ 48 Constraint B X, Y ≥ 0 Constraint C if A and B are the two binding constraints. a) What is the range of optimality of the objective function?   Answer ≤ C1/C2  ≤  Answer b) Suppose that the unit revenues for Y and X are changed to $20 and $45, respectively. Will the current optimum remain the same? AnswerYesNO...
Question 5 options: Consider the following integer linear programming problem: Max Z =       3x +...
Question 5 options: Consider the following integer linear programming problem: Max Z =       3x + 2y Subject to:    3x + 5y ≤ 30 5x + 2y ≤ 28                     x ≤ 8                     x, y ≥ 0 and integer The solution to the linear programming formulation is: x = 4.21, y = 3.47. What is the optimal solution to the integer linear programming problem? State the optimal values of decision variables. x = , y =
a. Solve the following linear programming model by using the graphical method: graph the constraints and...
a. Solve the following linear programming model by using the graphical method: graph the constraints and identify the feasible region then determine the optimal solution (s) (show your work). Minimize Z = 3x1 + 7x2 Subject to 9x1 + 3x2 ≥ 36 4x1 + 5x2 ≥ 40 x1 – x2 ≤ 0 2x1 ≤ 13 x1, x2 ≥ 0 b. Are any constraints binding? If so, which one (s)?