화학공학 분야에서 통계적 실험계획법 적용에 대한 서지 검토

유계상; Kye Sang Yoo

Applied Chemistry for Engineering, Vol.31, No.2, 138-146, April, 2020

DOI10.14478/ace.2020.1018 Export Citation

화학공학 분야에서 통계적 실험계획법 적용에 대한 서지 검토

Application of Statistical Design of Experiments in the Field of Chemical Engineering: A Bibliographical Review

유계상 ^†

서울과학기술대학교 화공생명공학과

Kye Sang Yoo^†

Department of Chemical & Biomolecular Engineering, Seoul National University of Science & Technology, 232 Gongneung-ro, Nowon-gu, Seoul 01811, Korea

E-mail:

초록

통계학적 실험계획법(DOE)은 수십 년 동안 산업계에서 품질을 개선하기 위해 사용되어온 방법이다. 본 연구에서는 화학공학 분야에서 통계적 실험계획법이 적용된 사례 115건을 검토해 보았다. 모든 사례는 지난 10년간 주요 과학저널에 발표된 내용이다. 적용되는 설계 유형, 실험 규모, 반응 변수에 영향을 미치는 요인 및 수준의 수 및 적용 분야가 분석되었다. 무엇보다 통계학적 실험계획법에 관련된 연구논문이 점차 증가하는 것을 알 수 있었다.

Design of experiments (DOE) is a method that has been applied in the industry to improve value for many decades. This study provides an overview of 115 cases of statistical DOE applications in the field of chemical engineering. All cases were published in important scientific journals for the last ten years. The applied design type, the experiment size, the number of factors and levels affecting the response variable, and the area of application for the design were all analyzed. Obviously, the number of publications related with statistical DOE increased over time.

Keywords:Design of experiments;Chemical engineering applications;Bibliographical

[References]

D. C. Montgomery, Design and Analysis of Experiments, 183-572, 8th ed., Wiley, New York, USA (2012).
Box GEP, Hunter JS, Hunter WG, Design, Innovation, and Discovery, 173-565, 2nd ed., Wiley, New York, USA (2005).
Bisgaard S, J. Qual. Eng., 4, 547 (1992)
Pravan T, Street DJ, J. Stat. Plann. Inference, 106, 245 (2002)
Lizarbe L, Alvarez MJ, Viles E, Tanco M, Qual. Reliab. Eng. Int., 24, 417 (2008)
Wu CFJ, Hamada MS, Experiments: Planning, Analysis, and Optimization, 1-10, 2nd ed., Wiley, New York, USA (2009).
Myers RH, Montgomery DC, Vining GG, Borror CM, Kowalski SM, J. Qual. Technol., 36, 53 (2004)
Robinson TJ, Borror CM, Myers RH, Qual. Reliab. Eng. Int., 20, 81 (2003)

[Related Articles]

[1] D. C. Montgomery, Design and Analysis of Experiments, 183-572, 8th ed., Wiley, New York, USA (2012).

[2] Box GEP, Hunter JS, Hunter WG, Design, Innovation, and Discovery, 173-565, 2nd ed., Wiley, New York, USA (2005).

[3] Bisgaard S, J. Qual. Eng., 4, 547 (1992)

[4] Pravan T, Street DJ, J. Stat. Plann. Inference, 106, 245 (2002)

[5] Lizarbe L, Alvarez MJ, Viles E, Tanco M, Qual. Reliab. Eng. Int., 24, 417 (2008)

[6] Wu CFJ, Hamada MS, Experiments: Planning, Analysis, and Optimization, 1-10, 2nd ed., Wiley, New York, USA (2009).

[7] Myers RH, Montgomery DC, Vining GG, Borror CM, Kowalski SM, J. Qual. Technol., 36, 53 (2004)

[8] Robinson TJ, Borror CM, Myers RH, Qual. Reliab. Eng. Int., 20, 81 (2003)