A non-conformance rate prediction method supported by machine learning and ontology in reducing underproduction cost and overproduction cost
Year of publication: |
2021
|
---|---|
Authors: | Ji, Bongjun ; Ameri, Farhad ; Cho, Hyunbo |
Subject: | machine learning yield management | Manufacturing processes | ontology | predictive model | production cost | Künstliche Intelligenz | Artificial intelligence | Ontologie | Ontology | Prognoseverfahren | Forecasting model | Produktionskosten | Production costs | Prozessmanagement | Business process management | Theorie | Theory | Kosten | Costs |
-
Ontology-based forecast of the duration of logistics processes in one-of-a-kind production in SME
Gliem, Deike, (2022)
-
Kowalski, Martin, (2012)
-
Silva, Alberto Manuel Rodrigues da, (2024)
- More ...
-
Kim, Kyungdoc, (2014)
-
Integration of queuing network and IDEF3 for business process analysis
Jeong, Ki-Young, (2008)
-
Im, Kwanyoung, (2020)
- More ...