Abstract
We propose Case-based reasoning (CBR) as an approach to assist human operators who control special purpose production machines. Our support system automatically extracts knowledge from machine data and creates recommendations, which help the operators solve problems with a production machine. This support has to be comprehensive and maintainable by process experts, also the system has to be easy transferable to different machines. We present CBR as a suitable approach for a decision support system in an industrial production.
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Lang, S., Plenk, V., Schmid, U. (2021). A Case-Based Reasoning Approach for a Decision Support System in Manufacturing. In: Fujita, H., Selamat, A., Lin, J.CW., Ali, M. (eds) Advances and Trends in Artificial Intelligence. From Theory to Practice. IEA/AIE 2021. Lecture Notes in Computer Science(), vol 12799. Springer, Cham. https://doi.org/10.1007/978-3-030-79463-7_22
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