ampl: reset; model KillerDrugsDoozey.mod.txt; data KillerDrugsDoozey.dat.txt; 
ampl: expand TotalCost, Meet_DailyDemand, Meet_MinWeight, Use_MinChem, Use_MaxChem;
minimize TotalCost:
	9*x[1] + 12*x[2] + 17*x[3] + 8*x[4];

subject to Meet_DailyDemand:
	x[1] + x[2] + x[3] + x[4] = 900;

subject to Meet_MinWeight['A']:
	0.04*x[1] + 0.07*x[2] + 0.14*x[3] + 0.04*x[4] >= 72;

subject to Meet_MinWeight['B']:
	0.08*x[1] + 0.11*x[2] + 0.09*x[3] + 0.05*x[4] >= 90;

subject to Meet_MinWeight['C']:
	0.03*x[1] + 0.09*x[2] + 0.12*x[3] + 0.11*x[4] >= 63;

subject to Use_MinChem[3]:
	x[3] >= 200;

subject to Use_MaxChem[4]:
	x[4] <= 500;

ampl: solve; display x;
Gurobi 10.0.0: optimal solution; objective 11300
2 simplex iterations
x [*] :=
1  166.667
2  533.333
3  200
4    0
;

# Interpretation: Killer Drugs mixes Chemicals 1, 2, and 3 in the
# propotions specified above at a minimum total of $11,300 to meet the
# daily demand of 900 lbs of Doozey.