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LOGISTICA | Metodi e strumenti per la progettazione e la gestione delle reti 7.04.04
CLUB SPECIALISTI" VALUE & COST MANAGEMENT" "INDUSTRIAL STATISTICS“
7 Aprile 2004
Pianificazione delle reti a livello strategico:lo strumento ONE, casi esempi
J. Mascolo, CRFL. Benyoucef, INRIA
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LOGISTICA | Metodi e strumenti per la progettazione e la gestione delle reti 7.04.04
Consortium
• FIAT Research Center (IT)• Renault (F)• Hitec (IT)• LSE (GB)• Intracom (GR)• CNRS (F)• BIBA (D)• INRIA (F)
4 universities
3 industrials
1 software developer
European project funded under the 5th framework
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LOGISTICA | Metodi e strumenti per la progettazione e la gestione delle reti 7.04.04
The ONE context
The objective of supply chain network design:– to optimise the investments in all the supply chain facilities,
– to minimise the subsequent operating costs of the supply chain network,
– to maximise the end customer satisfaction
– to manage the risks and uncertainties in the network
– to manage the various technology and management constraints
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LOGISTICA | Metodi e strumenti per la progettazione e la gestione delle reti 7.04.04
How does it work?
RiskEvents
Data MinerPreprocessing of
variable data
Network Model
TimeSeries
Non-timeSeries
getNextValue( object )
getNextValue( object , simTime)
Data transfer via DB or ASCII-files
Simulator
Simulationand KPI Data
KPI Evaluation
Network Access
Simulation Engine
KPIVisualisationand furtherProcessing
getKPI( simulationRunId )
HistoricalData
calculateImpactForRisk( riskId )
Cost/TimeModels
RiskEvents
Data MinerPreprocessing of
variable data
Network Model
TimeSeries
Non-timeSeries
getNextValue( object )
getNextValue( object , simTime)
Data transfer via DB or ASCII-files
Simulator
Simulationand KPI Data
KPI Evaluation
Network Access
Simulation Engine
KPIVisualisationand furtherProcessing
getKPI( simulationRunId )
HistoricalData
calculateImpactForRisk( riskId )
Cost/TimeModels
OptimiserQualitative network definition:physical network plus alternatives
Quantitative analysis of variability:- User-defined distribution- Default cost models validation- Data-mining cost models valid.
Definition and impact of risks related to network
Simulation:- coherence check
Output of simulation:-distribution of KPIs, with/ without occurrence of risksOptimiser
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LOGISTICA | Metodi e strumenti per la progettazione e la gestione delle reti 7.04.04
A typical problem
• The product: technical sports boot• Objective: define a portfolio of suppliers, robust to risks
and variability
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LOGISTICA | Metodi e strumenti per la progettazione e la gestione delle reti 7.04.04
What are the competitive advantages?
• Management of uncertainty and risks• Support to the user for forecasting and strategy for
missing data (Data-mining and default cost models)• Approach for optimisation:
– Coupling of simulation and optimisation– Versatility of tool (link to external solvers)
• Multi-criteria optimisation, including social and environmental aspects
• Platform Compatibility
Source: the ONE exploitation plan
