Kindly go through the solution provided below.
Consider the following linear programming problem Manimize $45X1 + $10X2 Subject To 15X1 + 5X2 2...
3. Solve the following LP problem graphically. Maximize profit = 20x1+ 10x2 Subject to:5x1 + 4x2≤250 2x1 + 5x2≤150 x1, x2≥0
Interpreting an LP output after solving the problem using the software. The following linear programming problem has been solved using the software. Use the output to answer the questions below. LINEAR PROGRAMMING PROBLEM: MAX 25X1+30X2+15X3 S.T. 1) 4X1+5X2+8X3<1200 2) 9X1+15X2+3X3<1500 OPTIMAL SOLUTION: Objective Function Value = 4700.000 Variable Value Reduced Costs X1 140.000 0.000 X2 0.000 10.000 X3 80.000 0.000 Constraint Slack/Surplus Dual Prices 1 0.000 1.000 2 0.000 2.333 OBJECTIVE COEFFICIENT RANGES: Variable Lower Limit Current Value Upper Limit...
The following linear programming problem has been solved by LINDO. Use the output to answer the questions. (Scroll down to see all). LINEAR PROGRAMMING PROBLEM MAX 41X1+52X2+21X3 S.T. C.1) 5X1 + 5X2 + 9X3 < 1200 C.2) 11X1 + 14X2 + 5X3 < 1500 END LP OPTIMUM FOUND AT STEP 1 OBJECTIVE FUNCTION VALUE 1) 5795.049 VARIABLE VALUE REDUCED COST X1 0.000 0.217822 X2 74.247 0.000000 X3 92.079 0.000000 ROW SLACK OR SURPLUS DUAL...
Problem #5 -- Consider the following linear programming problem: Maximize Z = 2x1 + 4x2 + 3x3 subject to: X1 + 3x2 + 2x3 S 30 best to X1 + x2 + x3 S 24 3x1 + 5x2 + 3x3 5 60 and X120, X220, X3 2 0. You are given the information that x > 0, X2 = 0, and x3 >O in the optimal solution. Using the given information and the theory of the simplex method, analyze the...
Use this output to answer these questions please, I need to understand. Interpreting an LP output after solving the problem using the software. The following linear programming problem has been solved using the software. Use the output to answer the questions below LINEAR PROGRAMMING PROBLEM MAX 25x1+30x2+15x3 ST. 1) 4X1+5X2+8X3<1200 2) 9x1+15X2+3X3c1500 OPTIMAL SOLUTION: Objective Function Value- 4700.000 Variable Value 140.000 duced Costs 0.000 10.000 0.000 x1 x2 X3 0.000 80.000 Slack/Surplus 0.000 0.000 1.000 2.333 2 OBJECTIVE COEFFICIENT RANGES:...
2- The Lofton Company has developed the following linear programming problem with the following functional constraints. Max x1 + x2 s.t. 2x1 + x2 ≤ 10 2x1 + 3x2 ≤ 24 3x1 + 4x2 ≥ 36 After running the solver, they found it infeasible so in revision, Lofton drops the original objective and establishes the three goals: Goal 1: Don't exceed 10 in constraint 1. Goal 2: Don't fall short of 36 in constraint 3. Goal 3: Don't exceed 24...
Problem needs to be done Excel. 1. Solve the following LP problem. Max Z = 3X1 + 5X2 S.T. 4X1 + 3X2 >= 24 2X1 + 3X2 <= 18 X1, X2 >= 0 a) Solve the Problem b) Identify the reduced costs and interpret each. c) Calculate the range of optimality for each objective coefficient. d) Identify the slacks for the resources and calculate the shadow price for each resource.
Given the following LP problem formulation and output data, perform the analysis below. Max. 100X1 + 120X2 + 150X3 + 125X4 s.t X1 + 2X2 + 2X3 + 2X4 < 108 (C1) 3X1 + 5X2 + X4 < 120 (C2) X1 + X3 < 25 (C3) X2 + X3 + X4 > 50 (C4) OPTIMAL SOLUTION: Objective Function Value = 7475.000 Variable Value Reduced Costs X1 8.000 0.500 X2 0.000 5.000 X3 17.000 0.000 X4 *A...
1. The following linear programming problem is given: 1(x)-9z1 + 5x2 + 5x3 → maximize under constraints: 22 S 5 9r1 +42 +4z354 1 1-229 1 20,2 20 (a) Write it is the standard form. (b) Find a vertex of the constraint set in the standard form. (c) Write the dual problem. (d) Solve the dual problem. (e) Solve the original problem. 1. The following linear programming problem is given: 1(x)-9z1 + 5x2 + 5x3 → maximize under constraints: 22...
Solve these problems using graphical linear programming and answer the questions that follow. Use simultaneous equations to determine the optimal values of the decision variables. a) Maximize Z = 2x1 + 10x2 b) Maximize Z = 6A + 3B (revenue) For both questions, answer the following: (1) What are the optimal values of the decision variables and Z? (2) Do any constraints have (nonzero) slack? If yes, which one(s) and how much slack does each have? (3) Do any constraints...