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🆕 Date Issued:
2024-01-14
🗄 In DepositOnce:2024-02-14
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Artificial Intelligence in Product Identification and Evaluation: Insights from Expert Interviews

Schimanek, Robert; Dietrich, Franz; Kemmerling, Luis (Contributor)

Modern 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 CIRIP
inspectionmachine learningcircular economyartificial intelligencesustainable manufacturingmaschinelles LernenKreislaufwirtschaftkünstliche Intelligenznachhaltige Fertigung
Creative Commons Attribution NonCommercial 4.0 (CC BY-NC)Creative Commons Attribution NonCommercial 4.0 (CC BY-NC)Creative Commons Attribution NonCommercial 4.0 (CC BY-NC)
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