A benchmark comparison of Gaussian process regression, support vector machines, and ANFIS for man-hour prediction in power transformers manufacturing

Production times affect the product valuations because they are directly relevant to a product's cost. The man-hour unit is widely used for measuring the production times, especially in labor-intensive manufacturing environments, and it is considered when making product valuations before the te...

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Bibliographic Details
Published in:Procedia computer science 2022, Vol.207, p.2567-2577
Main Authors: Işık, Kamil, Alptekin, S. Emre
Format: Article
Language:English
Subjects:
Man-hour prediction
power transformers
predictive models
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Summary:Production times affect the product valuations because they are directly relevant to a product's cost. The man-hour unit is widely used for measuring the production times, especially in labor-intensive manufacturing environments, and it is considered when making product valuations before the tendering phase of power transformer projects. To our knowledge, no study has been made to improve the prediction performance of man-hour estimations in this field. In this study, SVM, GPR, and ANFIS models were simultaneously applied to predict man-hours in Power Transformer manufacturing.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2022.09.315