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
# 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")
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):
# 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():
# 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
]
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))