Earticle

초록

영어

The Robust Design method uses a mathematical tool called orthogonal arrays to study a large number of decision variables with a small number of experiments. It also uses a new measure of quality, called signal-to-noise (S/N) ratio, to predict the quality from the customer's perspective. Thus, the most economical product and process design from both manufacturing and customers' viewpoints can be accomplished at the smallest, affordable development cost. Many companies, big and small, high-tech and low-tech, have found the Robust Design method valuable in making high-quality products available to customers at a low competitive price while still maintaining an acceptable profit margin. A study to analyze and solve problems of a biochemical process experiment has presented in this paper. We have taken Taguchi's parameter design approach, specifically orthogonal array, and determined the optimal levels of the selected variables through analysis of the experimental results using S/N ratio.

목차

Abstract
 1. 서론
 2. 실험의 적용환경 구축
  2.1 기존실험의 고찰
  2.2 실험에 사용된 세포 배양기
  2.3 직교배열표에 대한 인자의 배치
 3. 실험결과의 분석 및 확인실험
  3.1 실험의 설계
  3.2 실험결과의 분석
  3.3 최적조건의 결정과 확인실험
 4. 결론
 참고문헌

저자

• 조용욱 [ Cho Yong-Wook | 명지대학교 산업기술연구소 전임 연구원 ]
• 박명규 [ Park Myung-Kyu | 명지대학교 산업공학과 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  대한안전경영과학회지 [Journal of Korea Safety Management & Science]

• 간기

  계간

• pISSN

  1229-6783

• eISSN

  2288-1484

• 수록기간

  1999~2025

• 십진분류

  KDC 530 DDC 620