def getEntity(self):
activeEntity=Exit.getEntity(self) #call the parent method to get the entity
#check the attribute and update the counters accordingly
if activeEntity.machineId=='M1':
G.NumM1+=1
elif activeEntity.machineId=='M2':
G.NumM2+=1
return activeEntity #return the entity obtained
for buffer in possiblePredecessors:
if not buffer==machine.previous[0]:
machine.previous[0]=buffer
break
# if canDispose is not triggered in the predecessor send it
if not machine.previous[0].canDispose.triggered:
# a succeed function on an event must always take attributes the transmitter and the time of the event
succeedTuple=(machine, G.env.now)
machine.previous[0].canDispose.succeed(succeedTuple)
print G.env.now, 'from now on the machine will take from', machine.previous[0].id
#define the objects of the model
Q1=Queue('Q1','Queue1', capacity=float('inf'))
Q2=Queue('Q2','Queue2', capacity=float('inf'))
M=Machine('M1','Machine', processingTime={'Fixed':{'mean':3}})
E=Exit('E1','Exit')
P1=Part('P1', 'Part1', currentStation=Q1)
entityList=[]
for i in range(5): # create the WIP in a loop
Q1PartId='Q1_P'+str(i)
Q1PartName='Q1_Part'+str(i)
PQ1=Part(Q1PartId, Q1PartName, currentStation=Q1)
entityList.append(PQ1)
Q2PartId='Q2_P'+str(i)
Q2PartName='Q2_Part'+str(i)
PQ2=Part(Q2PartId, Q2PartName, currentStation=Q2)
entityList.append(PQ2)
#define predecessors and successors for the objects
Q1.defineRouting(successorList=[M])
Q2.defineRouting(successorList=[M])
from dream.simulation.imports import Machine, Queue, Exit, Part, ExcelHandler
from dream.simulation.Globals import runSimulation, G
#define the objects of the model
Q=Queue('Q1','Queue', capacity=1)
M=Machine('M1','Machine', processingTime={'Fixed':{'mean':0.25}})
E=Exit('E1','Exit')
P1=Part('P1', 'Part1', currentStation=Q)
#define predecessors and successors for the objects
Q.defineRouting(successorList=[M])
M.defineRouting(predecessorList=[Q],successorList=[E])
E.defineRouting(predecessorList=[M])
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}
from dream.simulation.imports import Machine, Source, Exit, Part, G, Repairman, Queue, Failure
from dream.simulation.imports import simulate, activate, initialize
#define the objects of the model
R=Repairman('R1', 'Bob')
S=Source('S1','Source', interarrivalTime={'distributionType':'Fixed','mean':0.5}, entity='Dream.Part')
M1=Machine('M1','Machine1', processingTime={'distributionType':'Fixed','mean':0.25})
Q=Queue('Q1','Queue')
M2=Machine('M2','Machine2', processingTime={'distributionType':'Fixed','mean':1.5})
E=Exit('E1','Exit')
#create failures
F1=Failure(victim=M1, distribution={'distributionType':'Fixed','MTTF':60,'MTTR':5}, repairman=R)
F2=Failure(victim=M2, distribution={'distributionType':'Fixed','MTTF':40,'MTTR':10}, repairman=R)
G.ObjList=[S,M1,M2,E,Q] #add all the objects in G.ObjList so that they can be easier accessed later
G.MachineList=[M1,M2]
G.ObjectInterruptionList=[F1,F2] #add all the objects in G.ObjList so that they can be easier accessed later
#define predecessors and successors for the objects
S.defineRouting([M1])
M1.defineRouting([S],[Q])
Q.defineRouting([M1],[M2])
M2.defineRouting([Q],[E])
E.defineRouting([M2])
def main():
initialize() #initialize the simulation (SimPy method)
#initialize all the objects
from dream.simulation.imports import Machine, Source, Exit, Batch, BatchDecomposition,\
BatchSource, BatchReassembly, Queue, LineClearance, ExcelHandler, ExcelHandler
from dream.simulation.Globals import runSimulation
# define the objects of the model
S=BatchSource('S','Source',interArrivalTime={'Fixed':{'mean':1.5}}, entity='Dream.Batch', batchNumberOfUnits=100)
Q=Queue('Q','StartQueue',capacity=100000)
BD=BatchDecomposition('BC', 'BatchDecomposition', numberOfSubBatches=4, processingTime={'Fixed':{'mean':1}})
M1=Machine('M1','Machine1',processingTime={'Fixed':{'mean':0.5}})
Q1=LineClearance('Q1','Queue1',capacity=2)
M2=Machine('M2','Machine2',processingTime={'Fixed':{'mean':4}})
BRA=BatchReassembly('BRA', 'BatchReassembly', numberOfSubBatches=4, processingTime={'Fixed':{'mean':0}})
M3=Machine('M3','Machine3',processingTime={'Fixed':{'mean':1}})
E=Exit('E','Exit')
# define the predecessors and successors for the objects
S.defineRouting([Q])
Q.defineRouting([S],[BD])
BD.defineRouting([Q],[M1])
M1.defineRouting([BD],[Q1])
Q1.defineRouting([M1],[M2])
M2.defineRouting([Q1],[BRA])
BRA.defineRouting([M2],[M3])
M3.defineRouting([BRA],[E])
E.defineRouting([M3])
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
from dream.simulation.imports import Machine, Source, Exit, Part, Repairman, Queue, Failure
from dream.simulation.Globals import runSimulation
#define the objects of the model
R = Repairman('R1', 'Bob')
S = Source('S1',
'Source',
interArrivalTime={'Fixed': {
'mean': 0.5
}},
entity='Dream.Part')
M1 = Machine('M1', 'Machine1', processingTime={'Fixed': {'mean': 0.25}})
Q = Queue('Q1', 'Queue')
M2 = Machine('M2', 'Machine2', processingTime={'Fixed': {'mean': 1.5}})
E = Exit('E1', 'Exit')
#create failures
F1 = Failure(victim=M1,
distribution={
'TTF': {
'Fixed': {
'mean': 60.0
}
},
'TTR': {
'Fixed': {
'mean': 5.0
}
}
},
repairman=R)
F2 = Failure(victim=M2,
'BatchDecomposition',
numberOfSubBatches=4,
processingTime={'Fixed': {
'mean': 1
}})
M1 = Machine('M1', 'Machine1', processingTime={'Fixed': {'mean': 0.5}})
Q1 = LineClearance('Q1', 'Queue1', capacity=2)
M2 = Machine('M2', 'Machine2', processingTime={'Fixed': {'mean': 4}})
BRA = BatchReassembly('BRA',
'BatchReassembly',
numberOfSubBatches=4,
processingTime={'Fixed': {
'mean': 0
}})
M3 = Machine('M3', 'Machine3', processingTime={'Fixed': {'mean': 1}})
E = Exit('E', 'Exit')
# define the predecessors and successors for the objects
S.defineRouting([Q])
Q.defineRouting([S], [BD])
BD.defineRouting([Q], [M1])
M1.defineRouting([BD], [Q1])
Q1.defineRouting([M1], [M2])
M2.defineRouting([Q1], [BRA])
BRA.defineRouting([M2], [M3])
M3.defineRouting([BRA], [E])
E.defineRouting([M3])
def main(test=0):
from dream.simulation.imports import Machine, Source, Exit, Part, Frame, Assembly, Failure
from dream.simulation.Globals import runSimulation
#define the objects of the model
Frame.capacity=4
Sp=Source('SP','Parts', interArrivalTime={'Fixed':{'mean':0.5}}, entity='Dream.Part')
Sf=Source('SF','Frames', interArrivalTime={'Fixed':{'mean':2}}, entity='Dream.Frame')
M=Machine('M','Machine', processingTime={'Fixed':{'mean':0.25}})
A=Assembly('A','Assembly', processingTime={'Fixed':{'mean':2}})
E=Exit('E1','Exit')
F=Failure(victim=M, distribution={'TTF':{'Fixed':{'mean':60.0}},'TTR':{'Fixed':{'mean':5.0}}})
#define predecessors and successors for the objects
Sp.defineRouting([A])
Sf.defineRouting([A])
A.defineRouting([Sp,Sf],[M])
M.defineRouting([A],[E])
E.defineRouting([M])
def main(test=0):
# add all the objects in a list
objectList=[Sp,Sf,M,A,E,F]
# set the length of the experiment
maxSimTime=1440.0
# call the runSimulation giving the objects and the length of the experiment
runSimulation(objectList, maxSimTime)
# calculate metrics
working_ratio=(A.totalWorkingTime/maxSimTime)*100
def getEntity(self):
activeEntity = Exit.getEntity(self)
if activeEntity.status == 'Good':
self.numGoodParts += 1
return activeEntity
def postProcessing(self):
Exit.postProcessing(self, MaxSimtime=maxSimTime)
self.GoodExits.append(self.numGoodParts)
def initialize(self):
self.numGoodParts = 0
Exit.initialize(self)
def postProcessing(self):
Exit.postProcessing(self, MaxSimtime=maxSimTime)
self.GoodExits.append(self.numGoodParts)
def getEntity(self):
activeEntity=Exit.getEntity(self)
if activeEntity.status=='Good':
self.numGoodParts+=1
return activeEntity
def initialize(self):
self.numGoodParts=0
Exit.initialize(self)
# The baby step includes:
# A source to generate students
# A Queue for students to wait for a flight
# A machine (aircraft) to give students time
# An exit for graduated students
# The source is API for Aviation Preflight Indocrination
API = Source('API',
'Source',
interArrivalTime={'Fixed': {
'mean': 0.5
}},
entity='Dream.Part')
RR = Queue('ReadyRoom', 'Queue', capacity=1)
AC = Machine('AC1', 'Machine', processingTime={'Fixed': {'mean': 0.25}})
E = Exit('The Fleet', 'The Fleet')
# The predecessors and successors for the objects
API.defineRouting(successorList=[RR])
RR.defineRouting(predecessorList=[API], successorList=[AC])
AC.defineRouting(predecessorList=[RR], successorList=[E])
E.defineRouting(predecessorList=[AC])
def main(test=0):
# add all the objects in a list
objectList = [API, RR, AC, E]
# set the length of the experiment
maxSimTime = 1440.0
# call the runSimulation giving the objects and the length of the
# experiment