A preference based multi response decision tree approach for quality improvement in manufacturing

Date

2011-12-01

Author

Dolgun, Leman Esra
Ipekçi, Arif Ilker
Köksal, Gülser

Metadata

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This paper presents a multi response decision tree (DT) approach to find the process conditions that yield products with desirable quality characteristics (QCs). We propose several criteria aggregation functions to convert responses (QCs) into an aggregated value. DT modeling is applied on the resulting aggregated values to decide on the process levels. Decision rules obtained separately for each QC can help in predicting the levels of QC values at these process levels thereafter. © 2011 IADIS.

Subject Keywords

CART algorithm decision, Quality improvement, Multiple responses, Decision tree

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84865095170&origin=inward
https://hdl.handle.net/11511/75928

Conference Name

IADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011; (24-26 July 2011)

Collections

Department of Industrial Engineering, Conference / Seminar

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Citation Formats

L. E. Dolgun, A. I. Ipekçi, and G. Köksal, “A preference based multi response decision tree approach for quality improvement in manufacturing,” Rome, Italy, 2011, p. 211, Accessed: 00, 2021. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84865095170&origin=inward.