Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

결측치가 있는 실험계획 데이터의 분석 방법에 관한 소고A Study on Analyzing Data from Designed Experiments with Missing Values

Other Titles
A Study on Analyzing Data from Designed Experiments with Missing Values
Authors
변재현
Issue Date
2021
Publisher
대한산업공학회
Keywords
Design of Experiments; Missing Data; Screening Design; Fractional Factorial Design; Robust Design; Product Development
Citation
대한산업공학회지, v.47, no.3, pp 321 - 325
Pages
5
Indexed
KCI
Journal Title
대한산업공학회지
Volume
47
Number
3
Start Page
321
End Page
325
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/5277
ISSN
1225-0988
2234-6457
Abstract
A data-oriented approach is proposed to analyze experiments designed data with missing values resulting from the invalidity of the design points. The procedure consists of representing available data in a normal probability plot, identifying better design points and the factor levels common to these points, and then deciding on optimal conditions in the experimental region or the direction of improvement. Proposed approach is illustrated with analyses of a fractional factorial design and a robust design data. The procedure is expected to be useful to the practitioners implementing design of experiments to product/process development.
Files in This Item
There are no files associated with this item.
Appears in
Collections
공과대학 > Department of Industrial and Systems Engineering > Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Byun, Jai Hyun photo

Byun, Jai Hyun
공과대학 (산업시스템공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE