EURO 2019 è una conferenza biennale sulla Ricerca Operativa che comprende, tra gli organizzatori, un comitato rappresentativo delle aziende e degli enti che mettono in pratica la ricerca operativa.
Per l’edizione appena trascorsa, il comitato ha organizzato due sessioni a tavola rotonda durante le quali Elettric80 e importanti aziende quali, fra le altre, Maersk, Air Liquide, Saint-Gobain, ArcelorMittal, EDF (Électricité de France), RTE (Réseau de Transport d'Electricité) e ENGIE (Energia rinnovabile e ambiente), hanno condiviso le rispettive modalità nel fare ricerca applicata.
In particolare, il collega dell’R&D Roberto Olmi ha presentato i nostri prodotti e alcune questioni che il nostro Gruppo affronta nella ricerca applicata.
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Per saperne di più sui gruppi di discussione:
- Round table 1 - Making an impact across industry (Chair: Jean André)
Around this roundtable, the panel will talk about the key performance indicators industrial companies are trying to optimize, jointly or separately (included or not in the models);
the impact through examples on the operations to transform the way they work;
the integration within their working environment and processes (user interactivity, HMI and others);
the qualitative benefits such as team training, knowledge sharing.
They will also cover the challenges of understanding the business needs and transform it iteratively into optimization models, the modelling effort to capture all the dynamic situations faced by operations, the difficulties of user acceptance vs the other tools they have used in the past.
- Round table 2 - Successful factors of industry/academic’s partnerships (Chair: Michele Quattrone)
Around this roundtable, the panel will discuss the key ingredients that make an industry/academic partnership successful from an industrial and academic point of view. Here some of the main questions:
- How do we initiate such partnerships?
- How do we track the evolution?
- Do we need to precisely define the roles in such partnerships?
- What is expected from industrials by academics: data, real-life topics, business expertise?
- What is expected from academics by industrials: scientific excellence, modelling practice, algorithmic developments, hype technological check...?
- What is the final output of such collaboration expected: prototyped models, feasibility studies, proof of concepts?
- What are the issues that are regularly faced in such collaborations: misunderstandings, Intellectual Property?