def main():
initialize() #initialize the simulation (SimPy method)
#initialize all the objects
for object in G.ObjList:
object.initialize()
J.initialize()
#set the WIP
Globals.setWIP(G.EntityList)
#activate all the objects
for object in G.ObjList:
activate(object, object.run())
simulate(until=infinity) #run the simulation until there are no more events
G.maxSimTime=E.timeLastEntityLeft #calculate the maxSimTime as the time that the last Job left
#loop in the schedule to print the results
schedule=[]
for record in J.schedule:
schedule.append([record[0].objName,record[1]])
print J.name, "got into", record[0].objName, "at", record[1]
ExcelHandler.outputTrace('TRACE')
return schedule
def main(test=0):
# call the runSimulation giving the objects and the length of the experiment
runSimulation(objectList=[QB,Q1,M1,Q2,M2,Q3,M3,QA,E,P1,P2,P3,P4,P5,P6,MA], maxSimTime=float('inf'), trace='Yes')
#output the trace of the simulation
ExcelHandler.outputTrace('CompoundMachine')
if test:
return G.maxSimTime
def main(test=0):
# call the runSimulation giving the objects and the length of the experiment
runSimulation(objectList=[
QB, Q1, M1, Q2, M2, Q3, M3, QA, E, P1, P2, P3, P4, P5, P6, MA
],
maxSimTime=float('inf'),
trace='Yes')
#output the trace of the simulation
ExcelHandler.outputTrace('CompoundMachine')
if test:
return G.maxSimTime
def main():
# add all the objects in a list
objectList=[M1,M2,M3,Q1,Q2,Q3,E,J]
# set the length of the experiment
maxSimTime=float('inf')
# call the runSimulation giving the objects and the length of the experiment
runSimulation(objectList, maxSimTime, trace='Yes')
#loop in the schedule to print the results
schedule=[]
for record in J.schedule:
schedule.append([record["station"].objName,record["entranceTime"]])
print J.name, "got into", record["station"].objName, "at", record["entranceTime"]
ExcelHandler.outputTrace('TRACE')
return schedule
def main():
# add all the objects in a list
objectList=[Q,M,E,P1]
# set the length of the experiment
maxSimTime=float('inf')
# call the runSimulation giving the objects and the length of the experiment
runSimulation(objectList, maxSimTime, trace='Yes')
#print the results
print "the system produced", E.numOfExits, "parts in", E.timeLastEntityLeft, "minutes"
working_ratio = (M.totalWorkingTime/G.maxSimTime)*100
print "the total working ratio of the Machine is", working_ratio, "%"
ExcelHandler.outputTrace('Wip1')
return {"parts": E.numOfExits,
"simulationTime":E.timeLastEntityLeft,
"working_ratio": working_ratio}
def main(test=0):
# add all the objects in a list
objectList = [S, Q, BD, M1, Q1, M2, BRA, M3, E]
# set the length of the experiment
maxSimTime = 1440.0
# call the runSimulation giving the objects and the length of the experiment
runSimulation(objectList, maxSimTime, trace='Yes')
# calculate metrics
working_ratio_M1 = (M1.totalWorkingTime / maxSimTime) * 100
blockage_ratio_M1 = (M1.totalBlockageTime / maxSimTime) * 100
waiting_ratio_M1 = (M1.totalWaitingTime / maxSimTime) * 100
working_ratio_M2 = (M2.totalWorkingTime / maxSimTime) * 100
blockage_ratio_M2 = (M2.totalBlockageTime / maxSimTime) * 100
waiting_ratio_M2 = (M2.totalWaitingTime / maxSimTime) * 100
working_ratio_M3 = (M3.totalWorkingTime / maxSimTime) * 100
blockage_ratio_M3 = (M3.totalBlockageTime / maxSimTime) * 100
waiting_ratio_M3 = (M3.totalWaitingTime / maxSimTime) * 100
# return results for the test
if test:
return {
"batches": E.numOfExits,
"working_ratio_M1": working_ratio_M1,
"blockage_ratio_M1": blockage_ratio_M1,
"waiting_ratio_M1": waiting_ratio_M1,
"working_ratio_M2": working_ratio_M2,
"blockage_ratio_M2": blockage_ratio_M2,
"waiting_ratio_M2": waiting_ratio_M2,
"working_ratio_M3": working_ratio_M3,
"blockage_ratio_M3": blockage_ratio_M3,
"waiting_ratio_M3": waiting_ratio_M3,
}
# print the results
print "the system produced", E.numOfExits, "batches"
print "the working ratio of", M1.objName, "is", working_ratio_M1
print "the blockage ratio of", M1.objName, 'is', blockage_ratio_M1
print "the waiting ratio of", M1.objName, 'is', waiting_ratio_M1
print "the working ratio of", M2.objName, "is", working_ratio_M2
print "the blockage ratio of", M2.objName, 'is', blockage_ratio_M2
print "the waiting ratio of", M2.objName, 'is', waiting_ratio_M2
print "the working ratio of", M3.objName, "is", working_ratio_M3
print "the blockage ratio of", M3.objName, 'is', blockage_ratio_M3
print "the waiting ratio of", M3.objName, 'is', waiting_ratio_M3
ExcelHandler.outputTrace('TRACE')
def main(test=0):
# add all the objects in a list
objectList=[S,Q,BD,M1,Q1,M2,BRA,M3,E]
# set the length of the experiment
maxSimTime=1440.0
# call the runSimulation giving the objects and the length of the experiment
runSimulation(objectList, maxSimTime, trace='Yes')
# calculate metrics
working_ratio_M1 = (M1.totalWorkingTime/maxSimTime)*100
blockage_ratio_M1 = (M1.totalBlockageTime/maxSimTime)*100
waiting_ratio_M1 = (M1.totalWaitingTime/maxSimTime)*100
working_ratio_M2 = (M2.totalWorkingTime/maxSimTime)*100
blockage_ratio_M2 = (M2.totalBlockageTime/maxSimTime)*100
waiting_ratio_M2 = (M2.totalWaitingTime/maxSimTime)*100
working_ratio_M3 = (M3.totalWorkingTime/maxSimTime)*100
blockage_ratio_M3 = (M3.totalBlockageTime/maxSimTime)*100
waiting_ratio_M3 = (M3.totalWaitingTime/maxSimTime)*100
# return results for the test
if test:
return {"batches": E.numOfExits,
"working_ratio_M1": working_ratio_M1,
"blockage_ratio_M1": blockage_ratio_M1,
"waiting_ratio_M1": waiting_ratio_M1,
"working_ratio_M2": working_ratio_M2,
"blockage_ratio_M2": blockage_ratio_M2,
"waiting_ratio_M2": waiting_ratio_M2,
"working_ratio_M3": working_ratio_M3,
"blockage_ratio_M3": blockage_ratio_M3,
"waiting_ratio_M3": waiting_ratio_M3,
}
# print the results
print "the system produced", E.numOfExits, "batches"
print "the working ratio of", M1.objName, "is", working_ratio_M1
print "the blockage ratio of", M1.objName, 'is', blockage_ratio_M1
print "the waiting ratio of", M1.objName, 'is', waiting_ratio_M1
print "the working ratio of", M2.objName, "is", working_ratio_M2
print "the blockage ratio of", M2.objName, 'is', blockage_ratio_M2
print "the waiting ratio of", M2.objName, 'is', waiting_ratio_M2
print "the working ratio of", M3.objName, "is", working_ratio_M3
print "the blockage ratio of", M3.objName, 'is', blockage_ratio_M3
print "the waiting ratio of", M3.objName, 'is', waiting_ratio_M3
ExcelHandler.outputTrace('TRACE')
def main(test=0):
# add all the objects in a list
objectList=[Q1,Q2,M,E,EV]+entityList
# set the length of the experiment
maxSimTime=float('inf')
# call the runSimulation giving the objects and the length of the experiment
runSimulation(objectList, maxSimTime, trace='Yes')
# calculate metrics
working_ratio = (M.totalWorkingTime/E.timeLastEntityLeft)*100
# return results for the test
if test:
return {"parts": E.numOfExits,
"simulationTime":E.timeLastEntityLeft,
"working_ratio": working_ratio}
#print the results
print '='*50
print "the system produced", E.numOfExits, "parts in", E.timeLastEntityLeft, "minutes"
print "the total working ratio of the Machine is", working_ratio, "%"
ExcelHandler.outputTrace('ChangingPredecessors')
def main(test=0):
# add all the objects in a list
objectList=[Q,M,E,P1]
# set the length of the experiment
maxSimTime=float('inf')
# call the runSimulation giving the objects and the length of the experiment
runSimulation(objectList, maxSimTime, trace='Yes')
# calculate metrics
working_ratio = (M.totalWorkingTime/G.maxSimTime)*100
# return results for the test
if test:
return {"parts": E.numOfExits,
"simulationTime":E.timeLastEntityLeft,
"working_ratio": working_ratio}
#print the results
print "the system produced", E.numOfExits, "parts in", E.timeLastEntityLeft, "minutes"
print "the total working ratio of the Machine is", working_ratio, "%"
ExcelHandler.outputTrace('Wip1')
Tr1=MilkTransport('Tr1','Tr1')
Tr2=MilkTransport('Tr2','Tr2')
Tr3=MilkTransport('Tr3','Tr3')
E=ExitJobShop('E','Exit')
route1=[{"stationIdsList": ["T1"]},
{"stationIdsList": ["Tr1"],"processingTime":{'Fixed':{'mean':0.17341}}},
{"stationIdsList": ["T2"]},
{"stationIdsList": ["Tr2"],"processingTime":{'Fixed':{'mean':0}},'volume':1000},
{"stationIdsList": ["E"]}]
route2=[{"stationIdsList": ["T3"]},
{"stationIdsList": ["Tr3"],"processingTime":{'Fixed':{'mean':1.11111}}},
{"stationIdsList": ["T2"]},
{"stationIdsList": ["Tr2"],"processingTime":{'Fixed':{'mean':0}},'volume':1000},
{"stationIdsList": ["E"]}]
MPList=[]
for i in range(173):
MP=MilkPack('MT_A'+str(i),'MT_A'+str(i),route=list(route1),liters=5,fat=3.8,productId=1)
MPList.append(MP)
for i in range(27):
MP=MilkPack('MT_B'+str(i),'MT_B'+str(i),route=route2,currentStation=T3,liters=5,fat=0.1,productId=1)
MPList.append(MP)
runSimulation([T1,T2,T3,Tr1,Tr2,Tr3,E]+MPList, 1000,trace='Yes')
ExcelHandler.outputTrace('MilkPlant')
print 1
