1 / 6

CLUB SPECIALISTI " VALUE & COST MANAGEMENT" "INDUSTRIAL STATISTICS“ 7 Aprile 2004

CLUB SPECIALISTI " VALUE & COST MANAGEMENT" "INDUSTRIAL STATISTICS“ 7 Aprile 2004 Pianificazione delle reti a livello strategico: lo strumento ONE, casi esempi J. Mascolo, CRF L. Benyoucef, INRIA. •. FIAT. Research. Center. (IT). •. Renault. (F). •. Hitec. (IT). •. LSE.

phil
Télécharger la présentation

CLUB SPECIALISTI " VALUE & COST MANAGEMENT" "INDUSTRIAL STATISTICS“ 7 Aprile 2004

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. CLUB SPECIALISTI " VALUE & COST MANAGEMENT" "INDUSTRIAL STATISTICS“ 7 Aprile 2004 Pianificazione delle reti a livello strategico: lo strumento ONE, casi esempi J. Mascolo, CRF L. Benyoucef, INRIA

  2. FIAT Research Center (IT) • Renault (F) • Hitec (IT) • LSE (GB) • Intracom (GR) • CNRS (F) • BIBA (D) • INRIA (F) Consortium 3 industrials 4 universities 1 software developer European project funded under the 5th framework

  3. 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

  4. Output of simulation: -distribution of KPIs, with/ without occurrence of risks Optimiser Qualitative network definition: physical network plus alternatives • Simulation: • coherence check Definition and impact of risks related to network • Quantitative analysis of variability: • - User-defined distribution • Default cost models validation- Data-mining cost models valid. How does it work? Optimiser

  5. A typical problem • The product: technical sports boot • Objective: define a portfolio of suppliers, robust to risks and variability

  6. 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

More Related