LP note pad.txt

# Import all classes of PuLP module
from pulp import *

# Create the problem variable to contain the problem data
model = LpProblem("ToolsProblem", LpMaximize)

# Create 3 variables Steel, Molding_machine, and Assembly_machine

T1 = LpVariable("Tool1", 0, None, LpInteger)
T2 = LpVariable("Tool2", 0, None, LpInteger) 
T3 = LpVariable("Tool3", 0, None, LpInteger)

# Create maximize objective function
model += 0.13 * T1 + 0.1 * T2 + 0.12 * T3 

#Constraints:

model += 1*T1 + 0.7 * T2 + 0.6 * T3 <= 10000, "Steel"
model += 1*T1 + 1 * T2 + 1 * T3 <= 20000, "Molding_machine"
model += 0.3*T1 + 0.5 * T2 + 0.4 * T3 <= 9000, "Assembly_machine"

#Demand limits:

model += T1 <= 15000, "T1_DemandLimit"
model += T2 <= 16000, "T2_DemandLimit"
model += T3 <= 12000, "T3_DemandLimit"

model.solve()

for v in model.variables():
    print(v.name, "=", v.varValue)

# print("T1 = ", T1.varValue)
# print("T2 = ", T2.varValue)
# print("T3 =" , T3.varValue)