Earticle

초록

영어

During product design phase, aiming at the problem of lacking reliability data, lower of product reliability, feature similarity-based new product design reliability analysis and prediction model were proposed. Putting the new product features as an evaluation objectives, an approach named Technique for Order Preference by Similarity to Ideal Solution(TOPSIS) was established firstly for selecting similar features products; Then, in order to realize the reliability analysis relational mapping with the new product design, the failure structure of the similar features products was quantified and the product failure structure matrix (FSM) was established, respectively; Afterwards, the Group Decision Making Method (GDMM) was presented for determining the improvement factor of the similar features products failure causes, on that basis, the new product features failure structure was generated to predict the reliability of new designing products. Finally, feasibility and effectiveness of the model were verified through an example of new Smart Mobile Phone product design.

목차

Abstract
 1. Introduction
 2. Reliability Analysis and Prediction Model
  2.1. Evaluating and selecting of the feature similarity products
  2.2. Feature similarity product failure structure analysis
  2.3. New product design reliability analysis and prediction
 3. Computational Study
 4. Conclusion
 Acknowledgments
 References

키워드

저자

• Tao Yang [ State Key Laboratory of Mechanical Transmission, Chongqing University, 400030, Chongqing, China, Department of Industrial Engineering, College of Mechanical Engineering, Chongqing University, Chongqing 400030, China ]
• Yu Yang [ State Key Laboratory of Mechanical Transmission, Chongqing University, 400030, Chongqing, China, Department of Industrial Engineering, College of Mechanical Engineering, Chongqing University, Chongqing 400030, China ]
• Yao Jiao [ State Key Laboratory of Mechanical Transmission, Chongqing University, 400030, Chongqing, China, Department of Industrial Engineering, College of Mechanical Engineering, Chongqing University, Chongqing 400030, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605