def createZSVariables(self):
numVars = 0
# the z variable is for each scenario
for scenario in self.scenarios:
# create zsp variable
v1 = Variable()
v1.type = Variable.v_zsp
v1.name = "zsp_" + scenario.id
v1.col = self.numCols
v1.scenario = scenario.id
self.variables[v1.name] = v1
self.lp.variables.add(names=[v1.name])
self.numCols += 1
numVars += 1
#create zsn variable
v2 = Variable()
v2.type = Variable.v_zsn
v2.name = "zsn_" + scenario.id
v2.col = self.numCols
v2.scenario = scenario.id
self.variables[v2.name] = v2
self.lp.variables.add(names=[v2.name])
self.numCols += 1
numVars += 1
return numVars
def createZSVariables(self):
numVars = 0
# the z variable is for each scenario
for scenario in self.scenarios:
# create zsp variable
v1 = Variable()
v1.type = Variable.v_zsp
v1.name = "zsp_" + scenario.id
v1.col = self.numCols
v1.scenario = scenario.id
self.variables[v1.name] = v1
self.lp.variables.add(names=[v1.name])
self.numCols += 1
numVars += 1
#create zsn variable
v2 = Variable()
v2.type = Variable.v_zsn
v2.name = "zsn_" + scenario.id
v2.col = self.numCols
v2.scenario = scenario.id
self.variables[v2.name] = v2
self.lp.variables.add(names=[v2.name])
self.numCols += 1
numVars += 1
return numVars
def createTimeIndexedVariable(self, name, v_type, coefficient=0.0, interval=1, lb=0.0, ub=1000000):
numVars = 0
for i in range(self.currentDay, self.finalDay, interval):
v = Variable()
v.name = name + str(i)
v.col = self.numCols
v.instant = i
v.type = v_type
self.variables[v.name] = v
self.lp.variables.add(obj=[coefficient], lb=[lb], ub=[ub], names=[v.name])
self.numCols += 1
numVars += 1
return numVars
def createZVariables(self):
numVars = 0
# create the zp variable
v1 = Variable()
v1.type = Variable.v_zp
v1.name = "zp"
v1.col = self.numCols
self.variables[v1.name] = v1
self.lp.variables.add(obj=[1.0], names=[v1.name])
self.numCols += 1
numVars += 1
# create the zn variable
v2 = Variable()
v2.type = Variable.v_zn
v2.name = "zn"
v2.col = self.numCols
self.variables[v2.name] = v2
self.lp.variables.add(obj=[-1.0], names=[v2.name])
self.numCols += 1
numVars += 1
return numVars
def createZVariables(self):
numVars = 0
# create the zp variable
v1 = Variable()
v1.type = Variable.v_zp
v1.name = "zp"
v1.col = self.numCols
self.variables[v1.name] = v1
self.lp.variables.add(obj=[1.0], names=[v1.name])
self.numCols += 1
numVars += 1
# create the zn variable
v2 = Variable()
v2.type = Variable.v_zn
v2.name = "zn"
v2.col = self.numCols
self.variables[v2.name] = v2
self.lp.variables.add(obj=[-1.0], names=[v2.name])
self.numCols += 1
numVars += 1
return numVars
def createRepositionVariable(self):
numVars = 0
repositionDays = [rDay for rDay in self.pData.repositionDays if rDay >= self.currentDay and rDay < self.finalDay]
for i in repositionDays:
v = Variable()
v.name = "r" + str(i)
v.col = self.numCols
v.instant = i
v.type = Variable.v_reposition
self.variables[v.name] = v
self.lp.variables.add(obj=[-params.unitCost], names=[v.name])
self.numCols += 1
numVars += 1
return numVars
def createDemandVariable(self):
numVars = 0
t0 = self.currentDay
for t in range(self.currentDay, self.finalDay):
v = Variable()
v.name = "d" + str(t)
v.col = self.numCols
v.instant = t
v.type = Variable.v_demand
demand = self.pData.getForecast(t0, t)
self.variables[v.name] = v
self.lp.variables.add(obj=[params.unitPrice], lb=[demand], ub=[demand], names=[v.name])
self.numCols += 1
numVars += 1
return numVars
def createStockVariable(self):
numVars = 0
# the s variables are for each scenario and for each t of current horizon
for scenario in self.scenarios:
for t in range(self.currentDay, self.finalDay):
# create the variable
v = Variable()
v.type = Variable.v_stock
v.name = "s_" + scenario.id + "_" + str(t)
v.col = self.numCols
v.instant = t
v.scenario = scenario.id
self.variables[v.name] = v
self.lp.variables.add(names=[v.name])
self.numCols += 1
numVars += 1
return numVars
def createStockVariable(self):
numVars = 0
# the s variables are for each scenario and for each t of current horizon
for scenario in self.scenarios:
for t in range(self.currentDay, self.finalDay):
# create the variable
v = Variable()
v.type = Variable.v_stock
v.name = "s_" + scenario.id + "_" + str(t)
v.col = self.numCols
v.instant = t
v.scenario = scenario.id
self.variables[v.name] = v
self.lp.variables.add(names=[v.name])
self.numCols += 1
numVars += 1
return numVars
def createRepositionVariable(self):
numVars = 0
repositionDays = [rDay for rDay in self.pData.repositionDays if rDay >= self.currentDay and rDay < self.finalDay]
# get the maximum forecast for using it as upper bound for r variable
maxDemand = max(s.maxForecast for s in self.scenarios)
# The reposition variable remains only for each t in the current planning horizon
for i in repositionDays:
v = Variable()
v.type = Variable.v_reposition
v.name = "r_" + str(i)
v.col = self.numCols
v.instant = i
self.variables[v.name] = v
self.lp.variables.add(names=[v.name])
self.numCols += 1
numVars += 1
return numVars
def createRepositionVariable(self):
numVars = 0
repositionDays = [
rDay for rDay in self.pData.repositionDays
if rDay >= self.currentDay and rDay < self.finalDay
]
# get the maximum forecast for using it as upper bound for r variable
maxDemand = max(s.maxForecast for s in self.scenarios)
# The reposition variable remains only for each t in the current planning horizon
for i in repositionDays:
v = Variable()
v.type = Variable.v_reposition
v.name = "r_" + str(i)
v.col = self.numCols
v.instant = i
self.variables[v.name] = v
self.lp.variables.add(names=[v.name])
self.numCols += 1
numVars += 1
return numVars
