Truckco manufactures two types of trucks: 1 and 2.
Each truck must go through the painting s
completely devoted to painting Type I trucks, then 800 per day could be painted; if the paintin
trucks, then 700 per day could be painted. If the assembly shop were completely devoted to ass
assembled; if the assembly shop were completely devoted to assembling truck 2 engines, then 1
contributes $300 to profit; each Type 2 truck contributes $500. formulate an LP that will maxi
Maximize, Z= 300x1 + 500x2
Constraints
(1/800)x1+ (1/700)x2 <=1 Paint shop constraint
700x1+800x2<=560000
7x1+8x2<=5600
(1/1500)x1+ (1/1200)x2<=1 Assemble shop constraint
1200x1+1500x2<=1800000
12x1+15x2<=18000
x1, x2>=0
Decision Variable,
Data LHS RHS Max
X1 X2
Constr1 7 8 5600
Constr2 12 15 18000
c1 c2
obj. fn. Coeff 300 500 Range of optimality
Model
X1 X2
Decision Variable - 700.00 Optimal Solution
obj. Fn 350,000.00 300X1+500X2 Optimal obj. fn value
LHS RHS
Constrain1 5,600 <= 5600 7X1+8X2<=5600 B6*$B$16+C6*$C$16
Constrain2 10,500 <= 18000 12X1+15X2<=18000B7*$B$16+C7*$C$16
o through the painting shop and assembly shop. If the painting shop were
e painted; if the painting shop were completely devoted to painting Type 2
mpletely devoted to assembling truck 1 engines, then 1,500 per day could be
truck 2 engines, then 1,200 per day could be assembled. Each Type 1 truck
te an LP that will maximize Truckco’s profit.
300X1+500X2
st
7X1+8X2<=5600
12X1+15X2<=18000
X1, X2≥ 0
B6*$B$16+C6*$C$16
B7*$B$16+C7*$C$16