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Applying Axiomatic design method in data-driven product design

  • 간행물
    한국경영정보학회 정기 학술대회 바로가기
  • 권호(발행년)
    2021 한국경영정보학회 추계통합학술대회 (2021.11) 바로가기
  • 페이지
    pp.196-201
  • 저자
    Yang Bin, Xiao Renbin
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A402818

원문정보

초록

영어
Big data has become viable as cost-effective approaches have emerged to tame the Volume, Velocity, Variety,Value (4Vs) of massive data. Within Big Data lies valuable patterns and information, previously hidden because of the tremendous amount of work required to extract them. Data-driven product design can guide designers making proper and accurate decisions, this design method is effective and useful, it becomes more and more popular today. Axiomatic design method is equally based on two design axioms of functional independency and information minimum, through “zigzag” decomposition, assigning design task to different design domains to complete design. This paper investigates how to apply Axiomatic design method in data-driven product design in order to bring new opportunities to enhance the production efficiency and product competitiveness.

목차

Abstract
Introduction
Conceptual design
1. Functional scheme mapping
2. Scheme optimization combination
3. Overall innovation design
Applying Axiomatic design
Conclusion
Acknoledgement
References

저자

  • Yang Bin [ Hubei University of Technology, Wuhan 430068,China ]
  • Xiao Renbin [ Huazhong University of Science and Technology, Wuhan 430074,China ]

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      한국경영정보학회 정기 학술대회 [KMIS Conference]
    • 간기
      반년간
    • 수록기간
      1990~2025
    • 십진분류
      KDC 325 DDC 658