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New Application of AI for Services in Maintenance towards a Circular Economy (Simon)

1. Project idea and potential: The major objective of the project is to select and apply proven and promising AI (Artificial Intelligence) techniques to maintenance services provided by three Swedish manufacturers. The project also aims to evaluate the economic and environmental implications of implementing the AI techniques. A huge market potential exists for the AI techniques to be applied to the data and to innovate maintenance services.

2. Brief background and state of the art: Today, many Swedish manufacturers who provide maintenance as part of their product/service system (PSS) have access to a huge amount of data. Despite proven AI techniques, industrial application of these techniques to the data is still in its infancy.

3. Impact: Through disseminating knowledge gained from the project to Swedish industry, their capacity and competitiveness as well as business and environmental performance by e.g. prolonged product life time will be enhanced.

4. Implementation: The major work packages are: making an inventory for AI techniques, applying the identified AI techniques to three industrial cases provided by the industry partners, evaluating the impacts of the application of the AI techniques using Life Cycle Assessment (LCA) and Life Cycle Costing (LCC), and disseminating the results to industry.

5. Project participants, roles, and management: IEI is the project coordinator and will provide expertise about PSS, LCA and LCC. IDA will contribute through its expertise on AI. Attentec, Saab, and Toyota will apply AI techniques to create innovative services or improve existing ones. IEI is responsible for the project management, where each partner is also a member.

Project manager

Participating researcher(s)

Topics

Artificial Intelligence, Circular Economy, Maintenance

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Project time

2017-2019

Budget

8 334 564 SEK

Partners

Linköpings Universitet

Attentec AB

Saab AB

Toyota Material Handling Europe AB

Funding

SIP Produktion2030