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- Briefly explain these terms:a. Basic variableb. Shadow pricec. Range of feasibilityd. Range of optimalityVariable Cells Model Variable W M Constraints Constraint Number 1 2 3 Name Westem Foods Salsa Mexico City Salsa Name Whole tomatoes Tomato sauce Tomato paste Final Value 560.000 240.000 Reduced Objective Cost Coefficient 0.000 1.000 0.000 1.250 Shadow Price Final Value 4480,000 1920,000 1600,000 0.188 0.125 0,000 Constraint R.H. Side 4480.000 2080.000 1600,000 Allowable Increase 0.250 0.150 Allowable Increase 1120.000 1E+30 40,000 Allowable Decrease 0.107 0.250 Allowable Decrease 160.000 160,000 320.000 Analyze the sensitivity report shown above- a. What is the optimal solution and what are the optimal production quantities? b. Specify the objective coefficient ranges. c. What are the shadow prices for each constraint? Interpret each. d. Identify each of the right-hand-side ranges?Q-Find the solution by using the simplex method MAX Z= 2X1+3X2+X3 - :S. T X1+6X2+X3 ≤ 6 X1+2X2+X3 ≤ 4 X1-X2+X3 ≤ 3 X1, X2,X3 ≥ 0
- The Porsche Club of America sponsors driver education events that provide high-performance driving instruction on actual race tracks. Because safety is a primary consideration at such events, many owners elect to install roll bars in their cars. Deegan Industries manufactures two types of roll bars for Porsches. Model DRB is bolted to the car using existing holes in the car's frame. Model DRW is a heavier roll bar that must be welded to the car's frame. Model DRB requires 20 pounds of a special high alloy steel, 40 minutes of manufacturing time, and 60 minutes of assembly time. Model DRW requires 25 pounds of the special high alloy steel, 100 minutes of manufacturing time, and 40 minutes of assembly time. Deegan's steel supplier indicated that at most 34,000 pounds of the high-alloy steel will be available next quarter. In addition, Deegan estimates that 2,000 hours of manufacturing time and 1,800 hours of assembly time will be available next quarter. The profit contributions are $200…Discuss the five (5) steps of the Theory of Constraints and apply each to asimulation/assumption of a constraint impacting Jaguar.Four qualified postgraduate students are to be allocated to four professors. The preference given by student (scale 1-10) is shown as table below. Student A В C D Professor James Jordan Janet 7 8 6. Jessy 5 8. 7 (a) Formulate a linear programming model for the problem. [NOTE: Please use x, where i = 1, 2,...,n -Professor and j=1, 2,...,m -Student to represent your decision variables.] (b) From the output below, what is the optimal allocation plan and what is the total preference scales obtained from the allocation plan? Model Variable Original Value Final Value Value x11 1 1 Value x12 1 Value x13 1 Value x14 Value x21 Value x22 Value x23 1 1 1 1 1 Value x24 1 Value x31 Value x32 Value x33 1 1 1 1 Value x34 1 Value x41 1 Value x42 1 Value x43 1 Value x44 1 1 699 445
- Define Linear programming (LP)?3) Maximize Z= 2x, +x2 +3x 3 X+x2+2x3 <25 + X3 5 8 X2+ x3 S10 X1, X2, X3 2 0 Subject to IMe1. A manufacturing company is engaged in producing three types of products: X, Y and Z. The production department produces, each day, components sufficient to make 50 units of X, 25 units of Y and 30 units of Z. The management is confronted with the problem of optimizing the daily production of the products in the assembly department, where only 100-man-hours are available daily for assembling the products. The following additional information is available Type of Product Profit Contribution Assembly Time per Product (Hrs) per Units of Products (in PhP) 120 0.8 Y 200 1.7 450 2.5 The company has a daily order commitment for 20 units of product X and a total of 15 units of products Y and Z. Formulate this problem as an LP model so as to maximize the total profit. Using simplex method, find the number of units of product X, Y and Z to product to maximize total profit.
- variables $E$11 47000 0 35 7.0000001 8.0000001 BO Constraints Final Shadow Constraint Allowable Allowable Cell Name Value Price R.H. Side Increase Decrease $B$16 LHS 55000 41 55000 10500 47000 $B$17 LHS 72000 35 72000 10500 47000 $B$18 LHS 80000 -8 80000 47000 10500 10500 $B$19 LHS 47000 0 57500 1E+30 The answers to the questions are found in this sensitivity report. Questions: Write your responses in the space provided 1. What is the range of optimality for the BN and BO variables? write your answers in this format: Lower limit <= Coefficient of BN <= Upper limit. Example 22 <= C of BN <= 40 2. What is the range of feasibility for the constraints located on B17 and B18? 3. If the right-hand side of the constraint located on B17 is decreased by 200, what is the effect on the value of the objective function?6. Find the formulation for the coffee demand in Dubai. 7. Find the constraints will ensure that if Roaster A is selected then Roaster E cannot be selected.Please show how to solve b