FORCE

Formulations and Computational Engineering

Sector

Materials

Product/Objective

The project aimed to develop an open integrated framework that connects materials models at various levels of complexity, experimental data sets and commercial information (e.g. ingredients and processing costs), so that decision makers can use a wider variety of key performance indicators. These are combined with multi-criteria optimization algorithms to identify the optimal trade off when making a business decision, considering appropriate formulation and business constraints.

Project Summary

FORCE brings materials modelling into the center-stage of business by combining it with advanced machine learning approaches for handling big data, empowering decision makers through the provision of rapid avenues to optimize existing, and design new products to enhance the position of European industries in their global markets.

Innovation

FORCE brings Materials modelling, business tools and databases into a single workflow:

• Enable advanced multi-criteria optimisations based on advanced KPIs;

   

• Applicable to different industrial sectors;
• Optimise the integration of humans in new more complex industries;
• Validation and training of translators on the system.

ES Role

EnginSoft’s role was to integrate the Business Decision Support System (BDSS) platform using interoperability and open simulation platform principles. In addition, EnginSoft developed the user interfaces and the workflow management technologies.

Partners: EFRAUNHOFER SOCIETY - FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG, DOW BENELUX BV, ENGINSOFT SPA, ENTHOUGHT LTD, GRANTA DESIGN LTD, IBM RESEARCH GMBH, PANEPISTIMIO PATRON, ETH ZURICH - R. EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH, UNILEVER U.K. CENTRAL RESOURCES, MEGARA RESINS - VIOMICHANIA RITINON MEGARON ANASTASIOS FANIS ANONYMOS ETAIRIA

Funding Scheme Horizon2020 | Call identifier H2020-NMBP-23-2016-two-stage