Solver LP.xlsx - X Y 2.3 C1 C2 C3 3 7 3 Profit 3.9 Constraints 30.3 = 20 = 3= 8.5 6= 1=-1 = 32 20 3 32 20 3 25 C1 X Y 0 5.333333 10.66667 0 20 15 C2 X Y

Solver LP.xlsx - X Y 2.3 C1 C2 C3 3 7 3 Profit 3.9...

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X Y Profit Constraints 2.3 3.9 8.5 30.3 = 32 20 = 20 C1 3 6 = 32 3 = 3 C2 7 1 = 20 C3 3 -1 = 3 C1 X Y 0 5.333333 10.66667 0 C2 X Y 0 20 2.857143 0 C3 X Y 0 -3 1 0 Thus there is no feasible solution to this problem. 0 2 4 6 8 1 -5 0 5 10 15 20 25
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10 12
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X Y Profit Point X Y 1 2 18 A 0 40 B 15 10 C1 2 3 = 60 C 24 4 C2 4 2 = 80 C3 1 0 = 24 C1 X Y 0 20 30 0 C2 X Y 0 40 20 0 C3 X Y 0 #DIV/0! 24 0 Profit is maximized at 0,40 0 5 10 15 20 25 0 5 10 15 20 25 30 35 40 45 A B C
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Profit 280 130 124 30 35
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X Y Cost Point X Y 1 2 18 A 0 80 B 12 20 C1 3 6 = 100 C 37.5 20 C2 10 2 = 160 C3 0 2 = 40 C4 2 0 = 75 C1 X Y 0 16.66667 33.33333 0 C2 X Y 0 80 16 0 C3 X Y 0 20 #DIV/0! 0 C4 X Y 0 #DIV/0! 37.5 0 Cost is maximized at X=0 and Y=80 0 5 10 15 20 25 30 0 10 20 30 40 50 60 70 80 90 A Feasible region B
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Cost 560 188 290 35 40 C
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Maximize X Y Profit 0 120 1800 Constraints Actual time Maximum time Wiring time 3 2 240 240 Drilling time 2 1 120 210 Assembly time 1.5 0.5 60 120
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Decision variables TNY TG TK TR Objective function Number of drinks 32 0 24 32 88 Constraints Maximum Bourbon 1 4 128 <= 128 Maximum Brandy 1 1 32 <= 128 Maximum Vodka 1 3 128 <= 128 Maximum Dry Vermouth 1 1 32 <= 32 Maximum sweet Vermouth 1 2 32 <= 32
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Gear Type Revenue per unit A 12.5 7.1 5.4 6.55 B 15.6 8.1 7.5 7.89 C 17.4 8.4 9 7.805 D 19.3 9 10.3 8.565
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  • Spring '19
  • Solver LP

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