Q1 = Queue("Q1", "Queue1", capacity=2)
M2 = Machine("M2", "Machine2", processingTime={"Fixed": {"mean": 1}})
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
maxSimTime = 1440.0
# call the runSimulation giving the objects and the length of the experiment
from manpy.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)
P2 = Part("P2",
"Part2",
currentStation=M,
remainingProcessingTime={"Fixed": {
"mean": 0.1
}})
# 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, P2]
# 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
from manpy.simulation.imports import Source, Queue, Machine, Exit
from manpy.simulation.Globals import runSimulation
# define the objects of the model
S = Source(
"S1", "Source", interArrivalTime={"Fixed": {"mean": 0.5}}, entity="manpy.Part"
)
Q = Queue("Q1", "Queue", capacity=1)
M = Machine("M1", "Machine", processingTime={"Fixed": {"mean": 0.25}})
E = Exit("E1", "Exit")
# define predecessors and successors for the objects
S.defineRouting(successorList=[Q])
Q.defineRouting(predecessorList=[S], successorList=[M])
M.defineRouting(predecessorList=[Q], successorList=[E])
E.defineRouting(predecessorList=[M])
def main(test=0):
# add all the objects in a list
objectList = [S, Q, M, 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)
# calculate metrics
working_ratio = (M.totalWorkingTime / maxSimTime) * 100
# return results for the test
if test:
totalParts += len(object.getActiveObjectQueue())
return totalParts
QB = Queue("QB", "QueueBefore", capacity=float("inf"))
Q1 = InternalQueue("Q1", "Q1", capacity=1)
M1 = InternalProcess("M1", "M1", processingTime={"Exp": {"mean": 1}})
Q2 = InternalQueue("Q2", "Q2", capacity=1)
M2 = InternalProcess("M2", "M2", processingTime={"Exp": {"mean": 1}})
Q3 = InternalQueue("Q3", "Q3", capacity=1)
M3 = InternalProcess("M3", "M3", processingTime={"Exp": {"mean": 1}})
QA = Queue("QA", "QueueAfter", capacity=float("inf"))
MA = Machine("MA", "MachineAfter", processingTime={"Exp": {"mean": 1}})
E = Exit("E", "Exit")
QB.defineRouting(successorList=[Q1, Q2, Q3])
Q1.defineRouting(predecessorList=[QB], successorList=[M1])
Q2.defineRouting(predecessorList=[QB], successorList=[M2])
Q3.defineRouting(predecessorList=[QB], successorList=[M3])
M1.defineRouting(predecessorList=[Q1], successorList=[QA])
M2.defineRouting(predecessorList=[Q2], successorList=[QA])
M3.defineRouting(predecessorList=[Q3], successorList=[QA])
QA.defineRouting(predecessorList=[M1, M2, M3], successorList=[MA])
MA.defineRouting(predecessorList=[QA], successorList=[E])
E.defineRouting(predecessorList=[MA])
P1 = Part("P1", "P1", currentStation=QB)
P2 = Part("P2", "P2", currentStation=QB)
P3 = Part("P3", "P3", currentStation=QB)
P4 = Part("P4", "P4", currentStation=QB)
P5 = Part("P5", "P5", currentStation=QB)
# define the objects of the model
S = Source(
"S", "Source", interArrivalTime={"Fixed": {"mean": 0.5}}, entity="manpy.Part"
)
Q = Queue("Q", "Queue", capacity=float("inf"))
M1 = Machine("M1", "Milling1", processingTime={"Fixed": {"mean": 0.25}})
M2 = Machine("M2", "Milling2", processingTime={"Fixed": {"mean": 0.25}})
E = Exit("E1", "Exit")
F = Failure(
victim=M1,
distribution={"TTF": {"Fixed": {"mean": 60.0}}, "TTR": {"Fixed": {"mean": 5.0}}},
)
# define predecessors and successors for the objects
S.defineRouting([Q])
Q.defineRouting([S], [M1, M2])
M1.defineRouting([Q], [E])
M2.defineRouting([Q], [E])
E.defineRouting([M1, M2])
def main(test=0):
# add all the objects in a list
objectList = [S, Q, M1, M2, 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
)
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
maxSimTime = 1440.0
# create failures
F1 = Failure(
victim=M1,
distribution={"TTF": {"Fixed": {"mean": 60.0}}, "TTR": {"Fixed": {"mean": 5.0}}},
repairman=R,
)
F2 = Failure(
victim=M2,
distribution={"TTF": {"Fixed": {"mean": 40.0}}, "TTR": {"Fixed": {"mean": 10.0}}},
repairman=R,
)
# 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(test=0):
# add all the objects in a list
objectList = [S, M1, M2, E, Q, R, F1, F2]
# 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
blockage_ratio = (M1.totalBlockageTime / maxSimTime) * 100
from manpy.simulation.Globals import runSimulation
# define the objects of the model
NS = NonStarvingEntry("NS1", "Entry", entityData={"_class": "manpy.Part"})
M1 = Machine("M1", "Machine1", processingTime={"Exp": {"mean": 1}})
Q2 = Queue("Q2", "Queue2")
M2 = Machine("M2", "Machine2", processingTime={"Exp": {"mean": 3}})
Q3 = Queue("Q3", "Queue3")
M3 = Machine("M3", "Machine3", processingTime={"Exp": {"mean": 5}})
E = Exit("E1", "Exit")
# define predecessors and successors for the objects
NS.defineRouting(successorList=[M1])
M1.defineRouting(predecessorList=[NS], successorList=[Q2])
Q2.defineRouting(predecessorList=[M1], successorList=[M2])
M2.defineRouting(predecessorList=[Q2], successorList=[Q3])
Q3.defineRouting(predecessorList=[M2], successorList=[M3])
M3.defineRouting(predecessorList=[Q3], successorList=[E])
E.defineRouting(predecessorList=[M3])
def main(test=0):
# add all the objects in a list
objectList = [NS, M1, M2, M3, Q2, Q3, E]
# set the length of the experiment
maxSimTime = 480
solutionList = []
for i in range(1, 10):