The above statement is false. Because in the objective function in cost function, we minimise cost so the objective function must reduce so that it improves the coefficient before we start producing something of that variable.
If the range of which the objective function coefficient can increase or decrease by before lp must be recalculated and a new optimal solution is found is called the Simplex Method.
the range of which the objective function coefficient can increase or decrease by before lp must...
I post this question but C, G, and H was not answered...can I have an answer for them please as soon as possible. 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 1) 4X1+5X2+8X3<1200 2) 9x1+15X2+3X3<1500 OPTIMAL SOLUTION: Objective Function Value- 4700.000 ariabl X1 x2 X3 0s 0.000 10.000 0.000 140.000 0.000 80.000 Less...
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...
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:...
Your problem will have exactly two variables (an X1 and an X2) and will incorporate a maximization (either profit or revenue) objective. You will include at least four constraints (not including the X1 ≥ 0 and X2 ≥ 0 [i.e., the “Non-negativity” or “Duh!”] constraints). At least one of these four must be a “≤” constraint, and at least one other must be a “≥” constraint; do not include any “= only” constraints. You must have a unique Optimal Solution...
Figure 1 provides the Excel Sensitivity output for the following LP model. 10x1 + 8x2 Max Z= subject to: 31 +2x2 < 24 2x1 + 4x2 = 12 -2x1 + 2 x2 56 X1, X2 > 0 Variable Cells Cell Name $B$13 Solution x1 $C$13 Solution x2 Final Reduced Objective Allowable Allowable Value Cost Coefficient Increase Decrease 6 0 10 1E+30 0 -12 8 12 1E+30 6 Constraints Cell $D$6 $D$7 $D$8 Name C1 Totals C2 Totals C3 Totals Final...
The LP problem whose output follows determines how many necklaces, bracelets, rings, and earrings a jewelry store should stock. The objective function measures profit; it is assumed that every piece stocked will be sold.Constraint 1 measures display space in units, constraint 2 measures time to set up the display in minutes. Constraints 3 and 4 are marketing restrictions. using excel solver: To what value can the profit on ring increases before the solution would change? LINEAR PROGRAMMING PROBLEM MAX 100X1+120X2+150X3+125X4...
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...
1. Consider the following LP: Max z 5x1 X2 st. 2x1 xS6 6x1X2S 12 Plot the constraints on the graph and identify the feasible region and determine the optimal value of the objective function and the values of the decision variables. 2. Priceler manufactures sedans and wagons. The number of vehides that can be sold each of the next three months are listed to Table 1. Each sedan sells for $10000 and each wagon sells for $11000. It cost $7000...
Question 15: All Parts 15. Suppose your goal this year is to produce 6,400 bushels of organic corn. Suppose your production technology has the following relationship for producing bushels of corn Q - f(LT LT where Q is the number of bushels of corn you produce, L is the number of labor hours you utilize, and T is the number of tractor hours you utilize. You know that the cost per hour of labor is $20 and the cost per...
If the per unit profit associated with producing the standard glove were to increase by $3 a pair, what would the impact be on the total profit? Obje ctive Cell (Max) Original Value Final Value Cell Name $B54 Obje ctive Function (Maxim ize Profit) 218 Variable Cells Integer 18 Contin 16 Contin Original Value Final Value Cell Name $B$1 X1(#of standard gloves) $852 X2(#of deluxe gloves) Constraints Cell Cell Value Formula Status Slack Name $B$8 1) Constraint#1 (le ather cutting...