A non-conformance rate prediction method supported by machine learning and ontology in reducing underproduction cost and overproduction cost.
Bongjun JiFarhad AmeriHyunbo ChoPublished in: Int. J. Prod. Res. (2021)
Keyphrases
- machine learning
- pairwise
- synthetic data
- model selection
- segmentation method
- prediction model
- machine learning methods
- high precision
- error rate
- knowledge acquisition
- high accuracy
- experimental evaluation
- domain knowledge
- prior knowledge
- information extraction
- domain specific
- feature set
- support vector machine
- probabilistic model
- significant improvement
- decision trees
- data mining