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WP5 – D5.1

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. Logistic-production system machines for working and assembling facilities for transportation, handling and storing

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WP5 – D5.1

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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

  2. Logistic-production system machines for working and assembling facilities for transportation, handling and storing quality control station Supply chain network of logistic-production systems with material and information exchanges

  3. - Not detected wastes - Quality control effectiveness + + + Defective parts + Detected wastes - Non quality of electric power supply Saturation of the logistic-production system + Service level - + + + + Machine-tool stoppages Actual lead time + - On time delivery + Parts to be reworked + + Production costs + Prices + The context: casual diagram

  4. Effects of faults in electric power supply on logistic-production system (EoP) Machine-tool stoppages resulting in defective parts or parts to be reworked Defective parts even if machine-tool stoppages do not occur Decrease of quality control effectiveness

  5. Impacts of EoP on operative performances Production costs On-time delivery Production goodness Global service level

  6. Non quality of electric power supply Simulated by Monte Carlo simulation model according to the probability distribution of all events occurring in the net - Not detected wastes - Quality control effectiveness + + + Defective parts + Detected wastes - Non quality of electric power supply Saturation of the logistic-production system + Service level - + + + + Machine-tool stoppages Actual lead time + - On time delivery + Parts to be reworked + + Production costs + Prices +

  7. 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 - Not detected wastes - Quality control effectiveness + + + Defective parts + Detected wastes - Non quality of electric power supply Saturation of the logistic-production system + Service level - + + + + Machine-tool stoppages Actual lead time + - On time delivery + Parts to be reworked + + Production costs + Prices +

  8. T4 P12 type=1 T19 The Petri net P19 T6 P4 T1 T2 P1 P2 type=1 type=g(power network) T5 T7 P7 P9 P3 P6 d=f(power network) goodness=1 T18 T3 goodness= min[v,disc(0,1)] P18 type=3 type=2 T9 P5 P8 perceived goodness=1 T17 T15 P16 type=2 T8 T10 P10 perceived goodness=0 goodness=0 d=h(power network) T14 T13 P15 P20 perceived goodness= disc(0,1) v=0 d=repair time P17 m m P14 T18 v=2 d=h(power network)

  9. 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.

  10. 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.

  11. 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. - Not detected wastes - Quality control effectiveness + + + Defective parts + Detected wastes - Non quality of electric power supply Saturation of the logistic-production system + Service level - + + + + Machine-tool stoppages Actual lead time + - On time delivery + Parts to be reworked + + Production costs + Prices +

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