RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      KCI등재

      품질코스트를 이용한 데이터 QC 활동의 자원할당 모형 연구 = A Resource Allocation Model for Data QC Activities Using Cost of Quality

      한글로보기

      https://www.riss.kr/link?id=A60213665

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      This research proposes a resource allocation model of Data QC (Quality Control) activities using COQ (Cost of Quality). The model has been developed based on a series of research efforts such as COQ classifications, weight determination of Data QC activities, and an aggregation approach between COQ and Data QC activities. In the first stage of this research, COQ was divided into the four typical classifications (prevention costs, appraisal costs, internal failure costs and external failure costs) through the opinions from five professionals in Data QC. In the second stage, the weights of Data QC activities were elicited from the field professionals. An aggregation model between COQ and Data QC activities has been then proposed to help the practitioners make a resource allocation strategy. DEA (Data Envelopment Analysis) was utilized for locating efficient decision points. The proposed resource allocation model has been validated using the case of Korea national defense information system. This research is unique in that it applies the concept of COQ to the data management for the first time and that it demonstrates a possible contribution to a real world case for budget allocation of national defense information.
      번역하기

      This research proposes a resource allocation model of Data QC (Quality Control) activities using COQ (Cost of Quality). The model has been developed based on a series of research efforts such as COQ classifications, weight determination of Data QC act...

      This research proposes a resource allocation model of Data QC (Quality Control) activities using COQ (Cost of Quality). The model has been developed based on a series of research efforts such as COQ classifications, weight determination of Data QC activities, and an aggregation approach between COQ and Data QC activities. In the first stage of this research, COQ was divided into the four typical classifications (prevention costs, appraisal costs, internal failure costs and external failure costs) through the opinions from five professionals in Data QC. In the second stage, the weights of Data QC activities were elicited from the field professionals. An aggregation model between COQ and Data QC activities has been then proposed to help the practitioners make a resource allocation strategy. DEA (Data Envelopment Analysis) was utilized for locating efficient decision points. The proposed resource allocation model has been validated using the case of Korea national defense information system. This research is unique in that it applies the concept of COQ to the data management for the first time and that it demonstrates a possible contribution to a real world case for budget allocation of national defense information.

      더보기

      목차 (Table of Contents)

      • 1. 서론
      • 2. 이론적 배경
      • 3. 품질코스트와 데이터 품질관리 활동 분석
      • 4. 품질코스트를 이용한 데이터 품질관리 활동의 자원할당
      • 5. 결론 및 향후 연구과제
      • 1. 서론
      • 2. 이론적 배경
      • 3. 품질코스트와 데이터 품질관리 활동 분석
      • 4. 품질코스트를 이용한 데이터 품질관리 활동의 자원할당
      • 5. 결론 및 향후 연구과제
      • 참고문헌
      더보기

      참고문헌 (Reference)

      1 Herb Krasner, "Using the Cost of Quality Approach for Software" 1998

      2 Feigenbaum, A. V, "Total Quality Control, 2nd ed., Chapter 5" McGraw-Hill 1961

      3 Korea Database Agency, "The Guideline for Data Quality Management (2.1)"

      4 Park, D-H, "Test Process Improvement by Using Cost of Quality in National Defense Software Development" 2007

      5 Juran, J. M, "Quality Planning and Analysis, 3rd ed" McGraw-Hill 19-, 1993

      6 Chang, S-J, "Quality Costs in Multi-stage Manufacturing Systems" 31 (31): 115-118, 1996

      7 Juran, J. M, "Quality Control Handbook, 3rd edition" McGraw-Hill 7-, 1974

      8 Bank, B, "Principles of Quality Control, Singapores"

      9 Harrington, H. J, "Poor Quality Costs" American Society For Quality Control 5-, 1987

      10 Schneiderman, A. M, "Optimum Quality Costs and Zero Defects : Are They Contradictory Concepts" 1986

      1 Herb Krasner, "Using the Cost of Quality Approach for Software" 1998

      2 Feigenbaum, A. V, "Total Quality Control, 2nd ed., Chapter 5" McGraw-Hill 1961

      3 Korea Database Agency, "The Guideline for Data Quality Management (2.1)"

      4 Park, D-H, "Test Process Improvement by Using Cost of Quality in National Defense Software Development" 2007

      5 Juran, J. M, "Quality Planning and Analysis, 3rd ed" McGraw-Hill 19-, 1993

      6 Chang, S-J, "Quality Costs in Multi-stage Manufacturing Systems" 31 (31): 115-118, 1996

      7 Juran, J. M, "Quality Control Handbook, 3rd edition" McGraw-Hill 7-, 1974

      8 Bank, B, "Principles of Quality Control, Singapores"

      9 Harrington, H. J, "Poor Quality Costs" American Society For Quality Control 5-, 1987

      10 Schneiderman, A. M, "Optimum Quality Costs and Zero Defects : Are They Contradictory Concepts" 1986

      11 Oppermann, M, "Optimization of quality costs" 19 (19): 135-140, 2003

      12 Stephen, T. Knox, "Modeling the Cost of Software Quality" Digital Equipment Corporation 1993

      13 Larry, P. English, "Improving Data Warehouse and Business Information Quality : Methods for reducing costs and increasing profits" Wiley computer publishing 1999

      14 Jeong, Y-B, "Development of Web Based Q-Cost System" 2004

      15 Korea Database Agency, "Data Quality Management Maturity Model (1.0)"

      16 Park, J-S, "Data Quality Management Maturity Model" 2003

      17 Alan, F. Karr, "Data Quality : A Statiscal Perspective, Science Direct"

      18 Jack, E. Olson, "Data Quality"

      19 Groocock, J. M, "Chain of Quality; Market Dominance Through Product Superiority" John Wiley and Sons 1986

      20 Park, M-H, "Analysis of Efficiency and Productivity" Korea Studies Information co 2008

      21 Kang, J-H, "A Study on Classification and Calculation Method of Cost of Quality" 18 (18): 17-24, 1995

      22 Park, M-H, "A Decision Support System for Stepwise Improvement of Quality Competitiveness" SungKyunKwan University 2002

      23 Lee, K-J, "A Case Study on Q-Cost System Utilization Method" 11 : 2002

      24 Crawsey, R. A, "A Business Performance Measure of Quality Management" American Society for Quality Control 1976

      더보기

      동일학술지(권/호) 다른 논문

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      인용정보 인용지수 설명보기

      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2013-01-01 평가 학술지 통합 (등재유지)
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2005-10-26 학술지명변경 한글명 : 산업공학지 -> 산업공학(IE interfaces) KCI등재
      2004-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2001-07-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      1999-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
      더보기

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼