Optimizing Manufacturing Processes through Artificial Intelligence and Virtualization

Summary

'There is a common saying in industry, and more generally in engineering 'fast, cheap, reliable, choose two out of three'. This saying captures the trade-off between resources, production time, quality and performance that are inherent in every manufacturing process. Conceptually, different points on this 'Paretto front' correspond to different production choices and directly affect the competitiveness of an industry. OPTIMAI aims to redefine and optimize this Pareto front through integrating several enabling technologies in a common framework.

The starting point for OPTIMAI is the smart instrumentation of production with AI-enabled sensors for quality inspection and monitoring, integrated on a secure middleware layer. To ensure data integrity and traceability, OPTIMAI foresees distributed ledger technology combined with a cyber-security module. Collected data are analysed using AI models for the early detection of defects and upstream causes of deficiencies.

OPTIMAI also explores the virtualization of production using digital twins of processes and sensors that combined with AI models trained on production data, form a simulation engine for exploring production scenarios and optimizing production planning. Another innovative point is the rapid reconfiguration of production equipment via automated feedback from quality control results or via a context aware Augmented Reality ecosystem for fast and informed decision making.

At the same time OPTIMAI put emphasis on establishing a comprehensive ethics and regulatory framework for the deployment of its technology realizing that a production line is a workplace and as such concerns related to privacy, protection of human rights and safety have to be carefully addressed before any kind of technology is adopted. OPTIMAI foresees an extended pilot phase on three industrial sites covering a representative sample of European industry in order to maximize its impact and facilitate commercial uptake.'

More information
Web resources: https://cordis.europa.eu/project/id/958264
https://optimai.eu/
Start date: 01-01-2021
End date: 31-12-2023
Total budget - Public funding: 10 453 125,00 Euro - 8 359 087,00 Euro
Call topic: Quality control in smart manufacturing (IA) (DT-FOF-11-2020)
Twitter: @OPTIMAI_Project
Cordis data

Original description

"There is a common saying in industry, and more generally in engineering ""fast, cheap, reliable, choose two out of three"". This saying captures the trade-off between resources, production time, quality and performance that are inherent in every manufacturing process. Conceptually, different points on this ""Paretto front"" correspond to different production choices and directly affect the competitiveness of an industry. OPTIMAI aims to redefine and optimize this Pareto front through integrating several enabling technologies in a common framework.
The starting point for OPTIMAI is the smart instrumentation of production with AI-enabled sensors for quality inspection and monitoring, integrated on a secure middleware layer. To ensure data integrity and traceability, OPTIMAI foresees distributed ledger technology combined with a cyber-security module. Collected data are analysed using AI models for the early detection of defects and upstream causes of deficiencies. OPTIMAI also explores the virtualization of production using digital twins of processes and sensors that combined with AI models trained on production data, form a simulation engine for exploring production scenarios and optimizing production planning. Another innovative point is the rapid reconfiguration of production equipment via automated feedback from quality control results or via a context aware Augmented Reality ecosystem for fast and informed decision making.
At the same time OPTIMAI put emphasis on establishing a comprehensive ethics and regulatory framework for the deployment of its technology realizing that a production line is a workplace and as such concerns related to privacy, protection of human rights and safety have to be carefully addressed before any kind of technology is adopted. OPTIMAI foresees an extended pilot phase on three industrial sites covering a representative sample of European industry in order to maximize its impact and facilitate commercial uptake."

Status

SIGNED

Call topic

DT-FOF-11-2020

Update Date

26-06-2022
Location
Optimizing Manufacturing Processes through Artificial Intelligence and Virtualization
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Latest news
Linda Henriksson
20/01/22 - 10:21
EU project makes headway in zero-defect manufacturing
  • EU funded project introduces new Artificial Intelligence (AI) methods for improved quality in manufacturing
  • The OPTIMAI project presents intelligent approach to zero-defect manufacturing through its breakthrough AI powered toolkit
  • 16 partner organisations from 8 countries across Europe join forces to optimise production processes through a mix of AI, augmented reality, virtualisation and smart sensors

20th January 2022

Manufacturing industries are constantly looking for new ways to improve quality control for both manufactured products and manufacturing processes. The OPTIMAI project is spearheading innovation in this area. Introducing new technologies designed to reduce scrap, eliminate defects, maximise productivity and improve quality of shop floor processes, the project is set to make a tangible impact on European industry and environmental sustainability.

“We are effectively looking to create a new industry ecosystem. We are optimising production processes through a unique mix of Smart Instrumentation, Metrology, Artificial Intelligence, Virtualisation and Augmented Reality”, says OPTIMAI Project Coordinator, Dr. Nikolaos Dimitriou from the Centre for Research and Technology Hellas (CERTH-ITI).

The three-year project, funded by the European Commission’s Horizon 2020 research and innovation programme, is shaping the factories of the future thanks to its unique set of smart technology designed for the manufacturing arena.  OPTIMAI was launched in January 2021 and has just entered its second year.

The manufacturing industry has spent the last few decades in a continuous state of technological revolution with the progressive introduction of ICT, robotics, and automation technologies and most recently the introduction of digitalisation technologies on the shop floor. OPTIMAI is now revolutionising current industry practices further by bringing together and advancing several enabling technologies that strengthen the collaboration between humans and machines.

Dr. Dimitriou and his team have designed the OPTIMAI toolkit, which will initially be tested and validated in factories focusing on the manufacturing of lifts and antennas and on the assembly of microelectronics in Greece, Spain and the UK respectively. The highly adaptable solutions will then be applied in a wide range of industrial settings and brought to market across Europe.

“We aim to strike an optimal balance between fast, cheap and reliable production choices that have a significant impact on industrial competitiveness.”, Dr. Dimitriou explains. 

Core parts of the toolkit developed by contributing organisations include a decision support system that detects and issues early notifications of defects, a continuous production, monitoring and quality inspection system powered by smart sensors, an intelligent marketplace for recycling of scrap, digital twins for simulation and forecasting of industrial processes, and, of course, a comprehensive ethics and regulatory framework surrounding the technologies.

Feeding into the current transformative phase in the Industrial Revolution known as Industry 4.0., the project’s innovations go beyond the state of the art and pave the way for a smarter, digitalised European manufacturing domain.

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24/06/2022 12:01:34 - OPTIMAI Project -@OPTIMAI_Project
📢 We are going to #IndTech2022! Taking place from 27-29 June in Grenoble, France, @OPTIMAI_Project will feature a booth at the @EFFRA_Live expo-village. Our sister projects @DAT4Zero, @I4qProject & @PenelopeEU1 are also attending. ℹ️: [URL] #EUindustry [Go to tweet]

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