Project description
Hybrid decision making to optimise the production process
A hybrid decision-making model takes advantage of both machine and human-centred elements. However, pairing humans with machines can be a challenge. The EU-funded FAIRWork project will deliver a decision support system that integrates digital twins optimising the overall production process according to multiple parameters and democratises decision making allowing workers and machines to participate in decision making. The project combines model-based approaches to transparently design, simulate and improve decision making, co-creation laboratory models and physical experiments as communication media and reliable indication of data and AI algorithms.
Objective
We provide a decision support system that (a) integrates digital twins to optimize the overall production process according multiple parameters, and (b) democratizes decision making granting human worker and machines a say during decision making. Each individual demand is consolidated to achieve a decision support, which is then optimized.
We combine (a) model-based approaches to transparently design, simulate and improve decision making, (b) co-creation laboratory using models and physical experiments as communication media to all actors and, (c) reliability indication of data and AI algorithms.
Those models can be assessed according legal, ethical, security and safety concerns and in case of approval ensure that only compliant models are used for decision making.
Hybrid decision making is provided by combining human- and machine-centric knowledge representation into a holistic model. Simulations on time, cost, quality, safety or energy efficiency contribute to transparent decision making, which evolves via model changes.
BOC provides graphical modelling enabling intuitive knowledge representations for humans. JOTNE provides data repositories for machines. JR provides data marketplaces and optimizations. MORE enable decentralized decision making with AI. RWTH provides both (a) AI and intuitive machine interaction and (b) social and ethical guidance for trustful decision making.
The use cases of the car manufacturer CRF and the robot plant provider FLEX are challenged by human and machine interaction, complex environment interactions and influence factors requiring continuous re-arrangements. The challenge is to consider each actors needs in a concise and complex situation still targeting an overall optimization.
The non-profit organization OMiLAB provides its world-wide network on modelling omilab.org and interacts with DIH, PPP on AI, Data and Robotics and contribute with corresponding CSA as part of their mission.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences biological sciences ecology ecosystems
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics
- natural sciences computer and information sciences software software applications simulation software
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.2.4 - Digital, Industry and Space
MAIN PROGRAMME
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HORIZON.2.4.5 - Artificial Intelligence and Robotics
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-IA - HORIZON Innovation Actions
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-CL4-2021-DIGITAL-EMERGING-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
1040 WIEN
Austria
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.