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nexedi
dream
Commits
bc13e57b
Commit
bc13e57b
authored
Oct 23, 2015
by
Georgios Dagkakis
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output also average buffer level
parent
c95ce840
Changes
1
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1 changed file
with
19 additions
and
3 deletions
+19
-3
dream/simulation/Examples/OperationalFailures.py
dream/simulation/Examples/OperationalFailures.py
+19
-3
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dream/simulation/Examples/OperationalFailures.py
View file @
bc13e57b
...
@@ -8,7 +8,7 @@ import time
...
@@ -8,7 +8,7 @@ import time
start
=
time
.
time
()
start
=
time
.
time
()
# simulation time
# simulation time
maxSimTime
=
10
000
maxSimTime
=
10
# the capacity of B123
# the capacity of B123
capacity
=
3
#float('inf')
capacity
=
3
#float('inf')
...
@@ -28,6 +28,17 @@ class OpQueue(Queue):
...
@@ -28,6 +28,17 @@ class OpQueue(Queue):
return
M2
return
M2
return
None
return
None
# calculate average buffer level
def
postProcessing
(
self
):
Queue
.
postProcessing
(
self
,
MaxSimtime
=
maxSimTime
)
totalBufferLevel
=
0
for
i
in
range
(
0
,
len
(
self
.
wipStatList
)
-
1
):
bufferLevel
=
self
.
wipStatList
[
i
][
1
]
duration
=
self
.
wipStatList
[
i
+
1
][
0
]
-
self
.
wipStatList
[
i
][
0
]
totalBufferLevel
+=
bufferLevel
*
duration
averageBufferLevel
=
totalBufferLevel
/
maxSimTime
self
.
BufferLevel
.
append
(
averageBufferLevel
)
class
OpExit
(
Exit
):
class
OpExit
(
Exit
):
# set numGoodParts=0 at every replication
# set numGoodParts=0 at every replication
def
initialize
(
self
):
def
initialize
(
self
):
...
@@ -166,7 +177,7 @@ NS2=NonStarvingEntry('NS2','Entry2',entityData={'_class':'Dream.Part','status':'
...
@@ -166,7 +177,7 @@ NS2=NonStarvingEntry('NS2','Entry2',entityData={'_class':'Dream.Part','status':'
M1
=
OpMachine
(
'M1'
,
'Machine1'
,
processingTime
=
{
'Fixed'
:{
'mean'
:
0.1
}})
M1
=
OpMachine
(
'M1'
,
'Machine1'
,
processingTime
=
{
'Fixed'
:{
'mean'
:
0.1
}})
M2
=
OpMachine
(
'M2'
,
'Machine2'
,
processingTime
=
{
'Fixed'
:{
'mean'
:
0.1
}})
M2
=
OpMachine
(
'M2'
,
'Machine2'
,
processingTime
=
{
'Fixed'
:{
'mean'
:
0.1
}})
M3
=
OpMachine
(
'M3'
,
'Machine3'
,
processingTime
=
{
'Fixed'
:{
'mean'
:
0.1
}})
M3
=
OpMachine
(
'M3'
,
'Machine3'
,
processingTime
=
{
'Fixed'
:{
'mean'
:
0.1
}})
B123
=
OpQueue
(
'B123'
,
'Queue'
,
capacity
=
capacity
)
B123
=
OpQueue
(
'B123'
,
'Queue'
,
capacity
=
capacity
,
gatherWipStat
=
True
)
E
=
OpExit
(
'E1'
,
'Exit'
)
E
=
OpExit
(
'E1'
,
'Exit'
)
Controller
=
EventGenerator
(
'EV'
,
'Controller'
,
start
=
0
,
interval
=
1
,
method
=
controllerMethod
)
Controller
=
EventGenerator
(
'EV'
,
'Controller'
,
start
=
0
,
interval
=
1
,
method
=
controllerMethod
)
...
@@ -193,6 +204,9 @@ E.GoodExits=[]
...
@@ -193,6 +204,9 @@ E.GoodExits=[]
for
M
in
[
M1
,
M2
,
M3
]:
for
M
in
[
M1
,
M2
,
M3
]:
M
.
GoodExits
=
[]
M
.
GoodExits
=
[]
# BufferLevel will keep the average buffer level for each replication
B123
.
BufferLevel
=
[]
# the transition probabilities for machines
# the transition probabilities for machines
M1
.
p
=
0.01
M1
.
p
=
0.01
M1
.
g
=
0.01
M1
.
g
=
0.01
...
@@ -208,15 +222,17 @@ M3.r=0.1
...
@@ -208,15 +222,17 @@ M3.r=0.1
M3
.
f
=
0.2
M3
.
f
=
0.2
# call the runSimulation giving the objects and the length of the experiment
# call the runSimulation giving the objects and the length of the experiment
runSimulation
(
objectList
,
maxSimTime
,
numberOfReplications
=
20
,
trace
=
'No'
)
runSimulation
(
objectList
,
maxSimTime
,
numberOfReplications
=
1
,
trace
=
'No'
)
#print the results
#print the results
PRt
=
sum
(
E
.
Exits
)
/
float
(
len
(
E
.
Exits
))
PRt
=
sum
(
E
.
Exits
)
/
float
(
len
(
E
.
Exits
))
PRg
=
sum
(
E
.
GoodExits
)
/
float
(
len
(
E
.
GoodExits
))
PRg
=
sum
(
E
.
GoodExits
)
/
float
(
len
(
E
.
GoodExits
))
B123ABF
=
sum
(
B123
.
BufferLevel
)
/
float
(
len
(
B123
.
BufferLevel
))
print
E
.
Exits
print
E
.
Exits
print
E
.
GoodExits
print
E
.
GoodExits
print
'PRt='
,
PRt
/
float
(
maxSimTime
)
print
'PRt='
,
PRt
/
float
(
maxSimTime
)
print
'PRg='
,
PRg
/
float
(
maxSimTime
)
print
'PRg='
,
PRg
/
float
(
maxSimTime
)
print
'B123 average buffer level='
,
B123ABF
for
M
in
[
M1
,
M2
,
M3
]:
for
M
in
[
M1
,
M2
,
M3
]:
GE
=
sum
(
M
.
GoodExits
)
/
float
(
len
(
M
.
GoodExits
))
GE
=
sum
(
M
.
GoodExits
)
/
float
(
len
(
M
.
GoodExits
))
print
'PRg'
+
M
.
id
,
'='
,
GE
/
float
(
maxSimTime
)
print
'PRg'
+
M
.
id
,
'='
,
GE
/
float
(
maxSimTime
)
...
...
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