A data mining approach to process optimization without an explicit quality function-Reference-Cited by-同舟云学术

A data mining approach to process optimization without an explicit quality function

Published:2007-05-28 Issue:8 Volume:39 Page:795-804
ISSN:0740-817X
Container-title:IIE Transactions
language:en
Short-container-title:IIE Transactions

Author:

Chong Il-Gyo,Albin Susan L.,Jun Chi-Hyuck

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering

Link

http://www.tandfonline.com/doi/pdf/10.1080/07408170601142668

Reference23 articles.

1. Bump Hunting for Risk: a New Data Mining Tool and its Applications

2. Chong, I.G. and Jun, C.H. Optimization of a large manufacturing process using the patient rule induction method. The 18th International Conference on Production Research. Salerno, Italy.

3. Performance of some variable selection methods when multicollinearity is present

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. EWMA-PRIM: Process optimization based on time-series process operational data using the exponentially weighted moving average and patient rule induction method;Expert Systems with Applications;2022-06

2. Multistage MR-CART: Multiresponse optimization in a multistage process using a classification and regression tree method;Computers & Industrial Engineering;2021-09

3. MR-CART: Multiresponse optimization using a classification and regression tree method;Quality Engineering;2021-06-11

4. Multiresponse optimization of a multistage manufacturing process using a patient rule induction method;Quality and Reliability Engineering International;2020-06-08

5. Optimizing mean and variance of multiresponse in a multistage manufacturing process using operational data;Quality Engineering;2020-02-19