Parameter Design Optimization of Products with an Ordinal Categorical Response Using Random Forests

Date

2018-11-01

Author

Köksal, Gülser

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We propose an alternative method for finding optimal settings of product and process design parameters for the case of an ordinal categorical product/process response. The method utilizes Random Forests for modelling mean and variance of the response at a given set of parameter settings. The method uses different weighting strategies of Random Forest, and it is applied on three case problems. Results obtained are compared with those of previous studies that used the same data sets.

URI

http://meetings2.informs.org/wordpress/phoenix2018/files/2018/11/Phoenix_Abstracts.pdf?utm_campaign=2018%20Annual%20Meeting&utm_source=Dropbox&utm_content=Download%20program%20abstracts
https://hdl.handle.net/11511/79432

Conference Name

2018 INFORMS Annual Meeting, 4 - 07 Kasım 2018,)

Collections

Department of Industrial Design, Conference / Seminar

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Citation Formats

G. Köksal, “Parameter Design Optimization of Products with an Ordinal Categorical Response Using Random Forests,” presented at the 2018 INFORMS Annual Meeting, 4 - 07 Kasım 2018,), Arizona, Amerika Birleşik Devletleri, 2018, Accessed: 00, 2021. [Online]. Available: http://meetings2.informs.org/wordpress/phoenix2018/files/2018/11/Phoenix_Abstracts.pdf?utm_campaign=2018%20Annual%20Meeting&utm_source=Dropbox&utm_content=Download%20program%20abstracts.