Artificial Intelligence in Product Identification and Evaluation: Insights from Expert Interviews

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dc.contributor.authorSchimanek, Robert
dc.contributor.authorDietrich, Franz
dc.contributor.otherKemmerling, Luis
dc.date.accessioned2024-02-14T08:13:50Z
dc.date.available2024-02-14T08:13:50Z
dc.date.issued2024-01-14
dc.description.abstractModern industries face complexity with diverse products and shorter lifecycles, shifting towards circular economy principles for value preservation and profitability. Artificial Intelligence (AI), specifically Machine Learning and Deep Learning, is considered for efficient product identification and evaluation in reverse logistics and prior to remanufacturing. However, the industrial viability of AI in this context remains to be determined. This research explores potential applications, challenges, technologies, and implementation aspects through expert interviews. The gained insights clarify the effectiveness of AI in product management within reverse logistics across diverse sectors. This data is referenced by "Cameraless and worker-centred AI inspection prior to assembly and disassembly", 2024, Annals of the CIRIPen
dc.description.sponsorshipBMBF, 033R226, EIBA - Sensorische Erfassung, automatisierte Identifikation und Bewertung von Altteilen anhand von Produktdaten sowie Informationen über bisherige Lieferungen​
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/20749
dc.identifier.urihttps://doi.org/10.14279/depositonce-19547
dc.language.isoen
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subject.ddc600 Technik, Medizin, angewandte Wissenschaften::620 Ingenieurwissenschaften::620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
dc.subject.otherinspectionen
dc.subject.othermachine learningen
dc.subject.othercircular economyen
dc.subject.otherartificial intelligenceen
dc.subject.othersustainable manufacturingen
dc.subject.othermaschinelles Lernende
dc.subject.otherKreislaufwirtschaftde
dc.subject.otherkünstliche Intelligenzde
dc.subject.othernachhaltige Fertigungde
dc.titleArtificial Intelligence in Product Identification and Evaluation: Insights from Expert Interviewsen
dc.typeTextual Data
tub.accessrights.dnbfree*
tub.affiliationFak. 5 Verkehrs- und Maschinensysteme::Inst. Werkzeugmaschinen und Fabrikbetrieb::FG Handhabungs- und Montagetechnik

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