Bakery Optimization Project

parameters.py

from pulp import *

# Optimize your Bakery Model 

# Parameters 
items = ["A", "B", "C", "D", "E", "F"]
profit = {"A":6, "B":4.4, "C":7.5, "D":0.9, "E":1.2, "F":2.2}
baker = {"A":50, "B":0, "C":45, "D":35, "E":25, "F":0}
oven = {"A":45, "B":0, "C":90, "D":20, "E":45, "F":0}
display = {"A":4, "B":1.5, "C":3, "D":1, "E":1, "F":1}
assist = {"A":0, "B":12, "C":0, "D":0, "E":0, "F":8}

# Initiliaze Class
model = LpProblem('Maximize Bakery Profits', LpMaximize)

# 2. Define Decision Variables
A = LpVariable('A', lowBound = 0, cat = 'Integer')
B = LpVariable('B', lowBound = 0, cat = 'Integer')
C = LpVariable('C', lowBound = 0, cat = 'Integer')
D = LpVariable('D', lowBound = 0, cat = 'Integer')
E = LpVariable('E', lowBound = 0, cat = 'Integer')
F = LpVariable('F', lowBound = 0, cat = 'Integer')
var_dict = {"A":A, "B":B, "C":C, "D":D, "E":E, "F":F}