Papers by Author: Z.H. Lin

Abstract: Root-cause identification and product quality characteristic modeling are key issues for improving product quality and the productivity of manufacturing process. The quality characteristic model, which indicates the influence of the dominate root-causes on the product quality characteristic, is the basis for quality control. In this paper an approach for quality characteristic modeling based on Support Vector Machine is presented. The selections of parameters and the Kernel function are discussed. The presented approach is applied for analyzing and predicting the quality of inertial gyroscope.

Abstract: Product family planning has received much attention from both academia and industries. It aims at incorporating customers’ needs into design elements of product family. The main challenger for product family planning originates from difficulties in mapping customer needs to product family specifications. This paper intends to develop a method to improve the mapping process by reusing knowledge from purchased products according to the satisfied customer needs. A knowledge discovery model for product family planning is proposed, where clustering is adopted to partition the purchased products so that commonality of product family could be effectively addressed and rough set is employed to extract the more concise decision rules. A case study of air condition is reported to illustrate the feasibility of proposed approach and associated algorithms.