Six sigma has been the most influential management innovation tool in order to achieve the customer's satisfaction and keep the competition in the age of limitless competition. The success in six sigma is to find the correct CTQ(Critical to Quality). QFD(Quality Function Deployment) is the efficient too ever created to tie product and service design decisions directly to customer wants and needs. One of the mistakes in QFD is to analyze using an inconsistent HOQ(House of Quality) chart. An inconsistent HOQ chart is one in which the information from the correlation matrix is inconsistent with that from the relationship matrix. This study presents the consistency check and inconsistency check in case of failing the consistency check. Also we propose the procedures using the Limiting Probability in correlation matrix and the Median Rank in relationship matrix in order to be consistent in HOQ chart.

Abstract
 1. 서 론
 2. 이론적 배경
  2.1 HOQ(House of Quality)
  2.2 일관성 검정 (Consistency Check)과 불일관성 검정(Inconsistency Check)
  2.3 극한확률(Limiting probability)
  2.4 Median Rank
  2.5 기존 연구의 성과와 문제점
 3. 제안하는 일관성 검정 방법
  3.1 극한확률을 통한 EC간의 연관관계 재결정
  3.2 Median Rank을 이용한 CA와 EC의 관계
 5. 결론 및 향후 연구 방향
 참고문헌

• 원유웅(한양대학교 산업공학과) | Yu-Woong Won
• 김성도(한양대학교 산업공학과) | Sung-Do Kim
• 윤덕균(한양대학교 산업공학과) | Deok-Kyun Yun