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1
WP5 – D5.1
Logical framework of the impact of the electric power supply on a
logistic-production system
Carlo Noè, Tommaso Rossi
Cattaneo University – LIUC
Italy
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Logistic-production systemmachines for working and assemblingfacilities for transportation, handling and storingquality control station
Supply chainnetwork of logistic-production systems with
material and information exchanges
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The context: casual diagram
Non quality of electric power
supply
Quality control effectiveness
Defective parts
Machine-tool stoppages
Parts to be reworked
Detected wastes
Not detected wastes
Actual lead time
Saturation of the logistic-production
system
On time delivery
Production costs Prices
Service level
-
+
+
+
+
++
+
++
+
-
+
+
-
-+
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-
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Effects of faults in electric power supply on logistic-production system (EoP)
1. Machine-tool stoppages resulting in defective parts or parts to be reworked
2. Defective parts even if machine-tool stoppages do not occur
3. Decrease of quality control effectiveness
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Impacts of EoP on operative performances
1. Production costs
2. On-time delivery
3. Production goodness
4. Global service level
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Non quality of electric power supply
Simulated by Monte Carlo simulation model according to the probability distribution of all events occurring in the net
Non quality of electric power
supply
Quality control effectiveness
Defective parts
Machine-tool
stoppages
Parts to be reworked
Detected wastes
Not detected wastes
Actual lead time
Saturation of the logistic-
production system
On time delivery
Production costs Prices
Service level
-
+
+
+
+
++
+
++
+
-
+
+
-
-+
+
-
+
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Production system and electric power faults
Modelled by an attributed Petri net composed of two sub-nets.
The first one models the production system and the second one the electric power faults occurrence
Non quality of electric power
supply
Quality control effectiveness
Defective parts
Machine-tool
stoppages
Parts to be reworked
Detected wastes
Not detected wastes
Actual lead time
Saturation of the logistic-
production system
On time delivery
Production costs Prices
Service level
-
+
+
+
+
++
+
++
+
-
+
+
-
-+
+
-
+
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The Petri net
P1T1
d=f(power network)
type=g(power
network)
P2type=1
T2
P3
goodness= min[v,disc(
0,1)]
P4
P5
P6T5
T6
type=1
T4 P12
P18
T14P15
m md=repair time
P14
T3type=2
T17 T15
P20
type=2
P7 T7goodness
=1
T8goodness
=0
P8
P9
P10
perceived goodness= disc(0,1)
perceived goodness=1
T9
perceived goodness=0
T10
T18type=3
P16
T13
v=0
P17
T18
v=2
d=h(power network)
d=h(power network)
P19
T19
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The production system Petri sub-net (yellow)
Places and transitions of the sub-net manage the parts production and the quality control recording the production data and the defective parts.
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The electric power faults occurrence Petri sub-net (blue)
Places and transitions of the sub-net manage the fault types, record the defective parts and allow the production system to be activated.
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To be done
Model to valuate the operative performances on the basis of Petri net results
Model the impacts of electric power supply on transportation system for deliveries.
Non quality of electric power
supply
Quality control effectiveness
Defective parts
Machine-tool
stoppages
Parts to be reworked
Detected wastes
Not detected wastes
Actual lead time
Saturation of the logistic-
production system
On time delivery
Production costs Prices
Service level
-
+
+
+
+
++
+
++
+
-
+
+
-
-+
+
-
+
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