341phaseI - P HASE I Reading over Phase 1 I decided that a...

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PHASE I Reading over Phase 1, I decided that a new variable, Domestic Salary, needed to be added to the LINGO code in order for us to be able to solve task 3. This gave us the code that will be used for Phase 1: max = 120000*P - 120*P*P-(((150+DS)*Q1+.1*Q1*Q1+150*D_TRAIN+300*D_TRUCK)+ ((145+DS)*Q2+.08*Q2*Q2+275*S_TRAIN+550*S_TRUCK)+(720*Q3+.05*Q3*Q3)); 200=DS; D_TRAIN+D_TRUCK=Q1; S_TRAIN+S_TRUCK=Q2; S_TRAIN<=1200; D_TRAIN<=800; Q1+Q2+Q3=D; 120000-120*P=D; Q1>=0; Q2>=0; Q3>=0; S_TRAIN>=0; D_TRAIN>=0; S_TRUCK>=0; S_TRAIN>=0; P>=0; 44*S_TRUCK+24*D_TRUCK+110*S_TRAIN+150*D_TRAIN+800*Q3=CF; CF<=1892267; As the Domestic Manager and phase leader I took the first opportunity I saw to raise domestic production and came to the conclusion that a 35% increase would be a good goal to enforce. This led to over $100,000 loss in profit, a smaller carbon footprint, and a slight decrease in production at our off-shore plant. Objective value: 827245.1 Total solver iterations: 9 Variable Value Reduced Cost P 955.2571 0.000000 DS 200.0000 0.000000 Q1 1844.000 0.000000 D_TRAIN 800.0000 0.000000 D_TRUCK 1044.000 0.000000 Q2 1620.000 0.000000 S_TRAIN 1200.000 0.000000 S_TRUCK 420.0000 0.000000 Q3 1905.143 0.000000 D 5369.143 0.000000 CF 1819650. 0.000000 Even as I had decreased the carbon footprint by over 70,000 lbs., Jason, the Environmental and Energy Manager, wasn’t satisfied with this relatively small decrease in emissions as compared to it as a whole. In his protest he
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