Reliability Analysis and Prediction for Product Design Based on Feature Similarity

Abstract

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.