from manpy.simulation.imports import Machine, Source, Exit, Part, ShiftScheduler
from manpy.simulation.Globals import runSimulation
# define the objects of the model
S = Source(
"S1", "Source", interArrivalTime={"Fixed": {"mean": 0.5}}, entity="manpy.Part"
)
M = Machine("M1", "Machine", processingTime={"Fixed": {"mean": 3}})
E = Exit("E1", "Exit")
SS = ShiftScheduler(victim=M, shiftPattern=[[0, 5], [10, 15]])
# define predecessors and successors for the objects
S.defineRouting(successorList=[M])
M.defineRouting(predecessorList=[S], successorList=[E])
E.defineRouting(predecessorList=[M])
def main(test=0):
# add all the objects in a list
objectList = [S, M, E, SS]
# set the length of the experiment
maxSimTime = 20.0
# call the runSimulation giving the objects and the length of the experiment
runSimulation(objectList, maxSimTime)
# calculate metrics
working_ratio = (M.totalWorkingTime / maxSimTime) * 100
off_shift_ratio = (M.totalOffShiftTime / maxSimTime) * 100
)
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
working_ratio_M1 = (M1.totalWorkingTime / maxSimTime) * 100
working_ratio_M2 = (M2.totalWorkingTime / maxSimTime) * 100
"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
runSimulation(objectList, maxSimTime)
# 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
}
},
"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
# return results for the test
if test: