AIDEAS - AI Driven industrial Equipment product life cycle boosting Agility, Sustainability and resilience

Duration: 2022-2025

Programme: HORIZON EUROPE – Digital, Industry and Space

Topic: HORIZON-CL4-2021-TWIN-TRANSITION-01-07 – Artificial Intelligence for sustainable, agile manufacturing (AI, Data and Robotics – Made in Europe Partnerships) (IA)

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Industrial equipment and machinery manufacturing forms the foundation of the industrial sector in the European Union (EU), employing approximately 3 million individuals and serving as a crucial supplier to various related industries. To maintain its competitive advantage, the field of industrial manufacturing necessitates comprehensive solutions that encompass the entire life cycle of industrial equipment. Addressing this need, the AIDEAS project, funded by the EU, is currently engaged in the development of a suite of artificial intelligence (AI) technologies to support this endeavor. The project’s primary focus revolves around four key elements: design, manufacturing, utilization, and repair/reuse/recycling. In order to validate and refine these proposed solutions, four pilot programs have been established, involving manufacturers who provide industrial equipment to sectors such as metal, stone, plastics, and food. Through the AIDEAS project, the EU aims to enhance the capabilities of industrial manufacturing through cutting-edge AI applications and drive sustainable growth in the sector.

Objectives

1. 1. To develop and share among the different consortium partners and other stakeholders the AIDEAS Project vision, establish the state of the art in terms of technologies for industrial equipment design, manufacturing use and repair/reuse/recycle, and to set the requirements driving the creation of AIDEAS Solutions.
   2. To design the AIDEAS Framework and deliver the Reference Architecture for smart manufacturing and devised using multiple perspectives, related to business, usage, functional and implementation viewpoints.
   3. To build the AIDEAS Industrial Equipment Design Suite, providing AI-assisted optimisation modules that generate design proposals for the construction of industrial equipment.
   4. To build the AIDEAS Industrial Equipment Manufacturing Suite, a set of AI technologies for the manufacturing phase of industrial equipment with the objective of achieving a high level of agility and sustainability between the manufacturing parties.
   5. To build the AIDEAS Industrial Equipment Use Suite, a set of AI technologies for the use of industrial equipment to be exploited by the companies that buy the machines.
   6. To build the AIDEAS Industrial Equipment Repair-Reuse-Recycle Suite, a set of AI technologies for the repair/reuse/recycle of industrial equipment to be used by the companies that perform such operations.
   7. To test and validate the AIDEAS Solutions in 4 use cases, machinery manufacturers covering different industrial sectors (metal, stone, plastic and food).
   8. To disseminate the AIDEAS Solutions, providing an outreach of the project activity and results, paving the way for broad adoption of AIDEAS Solutions in the industry. To create or contribute to standards, compliant with existent and evolving ICT standards, facilitating regulation and certification.
   9. To facilitate technology uptake and long-term adoption of the AIDEAS Solutions by the machinery manufacturing industry.
   10. To properly manage the project for guaranteeing that the project objectives are met by ensuring the successful completion of the project on resource, on quality and on time.

AIDEAS will be developing 4 suites and one Machine Passport as key exploitable results.

Impact

1. 1. TECHNOLOGICAL: Accelerating the adoption of AI technologies by machine manufacturers and machine-using companies, providing a greener and more flexible and efficient way of building industrial machinery.
   2. ECONOMIC: Increasing productivity, innovation capacity, resilience, sustainability, and global competitiveness of EU machinery manufacturing industries and the EU manufacturing companies, in particular, the ones considered to be energy-intensive: food, pulp and paper, basic chemicals, refining, iron and steel, nonferrous metals, and non-metallic minerals.
   3. SOCIETAL: Accelerating the green transition by providing AI technologies for the repair, reuse and recycling of machinery at the end of its first life, saving the CO2 emissions that new manufacturing would generate. Providing human workers (operate industrial machines) new levels of work efficiency, flexibility and safety, and learning and upgrading of skills, assisted by human-AI technologies, making their jobs more attractive.

Role of FAST-Lab.

• Coordination of the development of the AIDEAS Industrial Equipment Manufacturing Suite.
• Development of the AIDEAS Delivery Optimiser; an AI-based toolkit for optimising the scheduling, storage and delivery of products.
• Support the development of the AIDEAS Fabrication Optimiser; an AI-based toolkit for optimising production scheduling and resource allocation.
• Support the development of the Machine Passport for design, manufacturing, use and repair-reuse-recycle data.
• Support the development of AI algorithms for Adaptive control.
• Support the development of AI algorithms for Product quality.
• Continuous integration and validation of the AI solutions making up the AIDEAS Industrial Equipment Manufacturing suite.

To fulfill its objectives, the AIDEAS Project has assembled a robust consortium consisting of 15 partners representing 8 different countries. The consortium is composed of organizations and entities with diverse expertise and backgrounds, including industrial equipment manufacturers, research institutions, technology providers, and industry associations. This collaborative network of partners brings together a wealth of knowledge, experience, and resources, enabling the project to tackle complex challenges and deliver innovative solutions in the field of industrial equipment design, manufacturing, utilization, and repair/reuse/recycling. By leveraging the collective strengths of its consortium partners, the AIDEAS Project aims to drive advancements and foster competitiveness in the EU industrial sector.

Coordinator: ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS; GREECE

Participant Organizations:

• • TAMPEREEN KORKEAKOULUSAATIO SR: FAST-Lab.
  • UNIVERSITAT POLITECNICA DE VALENCIA: SPAIN
  • IKERLAN S. COOP: SPAIN
  • INSTITUTO TECNOLOGICO DE INFORMATICA: SPAIN
  • MULTISCAN TECHNOLOGIES SL: SPAIN
  • UNINOVA-INSTITUTO DE DESENVOLVIMENTO DE NOVAS TECNOLOGIAS-ASSOCIACAO: PORTUGAL
  • D2 TECHNOLOGY – MAQUINAS E EQUIPAMENTOS INDUSTRIAIS LDA: PORTUGAL
  • UNIVERSITA POLITECNICA DELLE MARCHE: ITALY
  • CE.S.I. CENTRO STUDI INDUSTRIALI SRL: ITALY
  • PAMA SPA: ITALY
  • IANUS SIMULATION GMBH: GERMANY
  • DIN DEUTSCHES INSTITUT FUER NORMUNG EV: GERMANY
  • BBM MASCHINENBAU UND VERTRIEBS GMBH.: GERMANY
  • XLAB RAZVOJ PROGRAMSKE OPREME IN SVETOVANJE DOO: SLOVENIA
  • FUNDINGBOX ACCELERATOR SP ZOO: POLAND
  • FUNDINGBOX COMMUNITIES SL: SPAIN (3RD PARTY)

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