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ASSISTANT

Learning and robust decision support systems for agile manufacturing environments

The EU-funded ASSISTANT project aims to develop breakthrough solutions for the manufacturing industry, using artificial intelligence to optimise production systems.

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To keep manufacturing production competitive, managers must design and manage complex collaborative and reconfigurable production systems that make maximum use of new technologies. However, this still requires much research to unleash the full benefit of digital tools for manufacturing.

The EU-funded ASSISTANT project (project no. 101000165) aims to develop breakthrough solutions for the manufacturing industry, using artificial intelligence to optimize production systems. One of the keystones of ASSISTANT is the creation of intelligent digital twins. By combining machine learning, optimization, simulation, and domain models, ASSISTANT develops tools and solutions providing all required information to help production managers design production lines, plan production, and improve machine settings for effective and sustainable decisions that guarantee product quality and safety.

The ASSISTANT project is composed of 12 partners. The project is funded by the European Commission and planned to spend about 6 Mio € for the challenging work to be carried out. ASSISTANT is organized in seven technical work packages, accompanied by a management work package and an ethical/GDPR work package. Work packages are devoted to particular objectives and are organized into tasks.

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