'''*******************************************************
* Python Example Problems *
* *
* file coco.py *
* Example for the use of the Python language *
* (Complete Coco Problem. *
* Specify phase by PHASE parameter. *
* Data input in the model, not via data files.) *
* *
* (c) 2018-2024 Fair Isaac Corporation *
*******************************************************'''
import xpress as xp
PHASE = 5
'''* Phase = 3: Multi-period parameterised model; mines always open
* Phase = 4: Mines may open/closed freely; when closed save 20000 per month
* Phase = 5: Once closed always closed; larger saving
'''
NT = 4 # Number of time periods
RP = [0, 1] # Range of products (p)
RF = [0, 1] # Range of factories (f)
RR = [0, 1] # Range of raw materials (r)
RT = [i for i in range(NT)] # time periods (t)
CPSTOCK = 2.0 # Unit cost to store any product p
CRSTOCK = 1.0 # Unit cost to store any raw mat. r
MXRSTOCK = 300 # Max. amount of r that can be stored each f and t
Post = [i for i in range(0, NT+1)]
prob = xp.problem()
# Amount of product p made at factory f
make = prob.addVariables(RP, RF, RT, name='make')
# Amount of product p sold from factory f in period t
sell = prob.addVariables(RP, RF, RT, name='sell')
# Amount of raw material r bought for factory f in period t
buy = prob.addVariables(RR, RF, RT, name='buy')
# Stock level of product p at factory f at start of period t
pstock = prob.addVariables(RP, RF, Post, name='pst')
# Stock level of raw material r at factory f at start of period t
rstock = prob.addVariables(RR, RF, Post, name='rst')
# 1 if factory f is open in period t, else 0
openm = prob.addVariables(RF, RT, name='openm', vartype=xp.binary)
REV = [[400, 380, 405, 350],
[410, 397, 412, 397]]
CMAKE = [[150, 153],
[75, 68]]
CBUY = [[100, 98, 97, 100],
[200, 195, 198, 200]]
COPEN = [50000, 63000]
REQ = [[1.0, 0.5],
[1.3, 0.4]]
MXSELL = [[650, 600, 500, 400],
[600, 500, 300, 250]]
MXMAKE = [400, 500]
PSTOCK0 = [[50, 100],
[50, 50]]
RSTOCK0 = [[100, 150],
[50, 100]]
# Objective: maximize total profit
MaxProfit = (
xp.Sum(REV[p][t] * sell[p, f, t] for p in RP
for f in RF for t in RT) - # revenue
xp.Sum(CMAKE[p][f] * make[p, f, t] for p in RP
for f in RF for t in RT) - # prod. cost
xp.Sum(CBUY[r][t] * buy[r, f, t] for r in RR
for f in RF for t in RT) - # raw mat. cost
xp.Sum(CPSTOCK * pstock[p, f, t] for p in RP
for f in RF for t in range(1, NT+1)) - # p stor. cost
xp.Sum(CRSTOCK * rstock[r, f, t] for r in RR
for f in RF for t in range(1, NT+1))) # r stor. cost
if PHASE == 4: # Factory fixed cost
MaxProfit -= xp.Sum((COPEN[f] - 20000) * openm[f, t]
for f in RF for t in RT)
elif PHASE == 5:
MaxProfit -= xp.Sum(COPEN[f] * openm[f, t] for f in RF for t in RT)
prob.setObjective(MaxProfit, sense=xp.maximize)
# Product stock balance
prob.addConstraint(pstock[p, f, t+1] == pstock[p, f, t]
+ make[p, f, t] - sell[p, f, t]
for p in RP for f in RF for t in RT)
# Raw material stock balance
prob.addConstraint(rstock[r, f, t+1] == rstock[r, f, t] + buy[r, f, t] -
xp.Sum(REQ[p][r]*make[p, f, t] for p in RP)
for r in RR for f in RF for t in RT)
# Capacity limit at factory f
prob.addConstraint(xp.Sum(make[p, f, t] for p in RP) <= MXMAKE[f] * openm[f, t]
for f in RF for t in RT)
# Limit on the amount of prod. p to be sold
prob.addConstraint(xp.Sum(sell[p, f, t] for f in RF) <= MXSELL[p][t]
for p in RP for t in RT)
# Raw material stock limit
prob.addConstraint(xp.Sum(rstock[r, f, t] for r in RR) <= MXRSTOCK
for f in RF for t in range(NT))
if PHASE == 5: # Once closed, always closed
prob.addConstraint(openm[f, t+1] <= openm[f, t]
for f in RF for t in range(NT - 1))
# Initial product levels
prob.addConstraint(pstock[p, f, 1] == PSTOCK0[p][f] for p in RP for f in RF)
# Initial raw material levels
prob.addConstraint(rstock[r, f, 1] == RSTOCK0[r][f] for r in RR for f in RF)
if PHASE < 4:
prob.addConstraint(openm[f, t] == 1 for f in RF for t in RT)
prob.optimize() # Solve the LP or MIP-problem
# Print out the solution
print("Solution:\n Objective: ", prob.attributes.objval)
hline = 60*"-"
print("Total profit: ", prob.attributes.objval)
print(hline)
print(8*" ", "Period", end='')
for t in range(NT+1):
print("{:8}".format(t), end='')
print("\n", hline)
print("Finished products\n",
"=================")
for f in RF:
print(" Factory", f)
for p in RP:
print(3*" ", "P", p, ": Prod", 12*" ", end='', sep='')
for t in RT:
print("{:8.2f}".format(prob.getSolution(make[p, f, t])), end='')
print('')
print(8*" ", "Sell", 12*" ", end='', sep='')
for t in RT:
print("{:8.2f}".format(prob.getSolution(sell[p, f, t])), end='')
print('')
print(7*" ", "(Stock)", end='')
for t in range(NT+1):
print(" (", "{:4.1f}".format(prob.getSolution(pstock[p, f, t])),
")", end='', sep='')
print('')
print(hline)
print("Raw material\n",
"============")
for f in RF:
print(" Factory", f)
for r in RR:
print(3*" ", "R", r, ": Buy", 12*" ", end='', sep='')
for t in RT:
print("{:8.2f}".format(prob.getSolution(buy[r, f, t])), end='')
print('')
print(8*" ", "Use", 12*" ", end='', sep='')
for t in RT:
print("{:8.2f}".format(sum(REQ[p][r] *
prob.getSolution(make[p, f, t])
for p in RP)), end='')
print('')
print(7*" ", "(Stock)", end='')
for t in range(NT+1):
print(" (", "{:4.1f}".format(prob.getSolution(rstock[r, f, t])),
")", end='', sep='')
print('')
print(hline)
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