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Environmental and economic assessment of using AI techniques for predictive maintenance in three case studies: Deliverable of Work Package 5 from SIMON project
Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering. (PSI)ORCID iD: 0000-0002-8957-8727
2019 (English)Report (Other academic)
Abstract [en]

The maintenance process is important for keeping and improving, for example, availability and quality. It is also important for the sustainability aspect where a possible prolonged life of products can have a positive effect on environmental performance. With new opportunities provided by Industry 4.0 and the accessibility to a vast amount of data through the Internet of Things (IoT), maintenance can be further developed and improved with using new technologies, such as AI. This opportunity is explored in the project New Application of AI for Services in Maintenance towards a Circular Economy (SIMON). One of the objectives of SIMON is to evaluate the economic and environmental implications of applying AI techniques in maintenance service. This evaluation is compiled and presented in this report.

Place, publisher, year, edition, pages
Linköping, 2019. , p. 37
Keywords [en]
Maintenance, AI, LCC, LCA
National Category
Environmental Management
Identifiers
URN: urn:nbn:se:liu:diva-169087ISRN: LIU-IEI-RR--19/00333—SEOAI: oai:DiVA.org:liu-169087DiVA, id: diva2:1464989
Funder
VinnovaAvailable from: 2020-09-08 Created: 2020-09-08 Last updated: 2025-02-10Bibliographically approved

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Carlson, Annelie

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