Data Analysis for Decreasing Mold Defective Fraction in Automotive Rubber Products Based on Orthogonal Array Experiments  
Author Shigeru Yamada


Co-Author(s) Giichi Takabatake


Abstract The rubber parts discussed in this paper are automotive products, of which the material is generally called dango. The dango is made by polymer, carbon, and oil. The dango’s are made/cut under the weight specification, but the weight of them ranges widely. In this paper, we aim to decrease the mold fraction defective since there is a quality problem of satisfying customer requirements. On the other hand, the quality specification of the products has become strict for satisfying the quality requirements, which is difficult to be attained with current technologies. Therefore, we conduct a laboratory experiment and and apply a quality engineering approach to the experimental data to improve the mold fraction defective. Further, based on the design of experiment, we assess the time-dependent behavior of the mold defective fraction for dango’s production by using a control chart based on the cumulative defect rate.


Keywords Design of Experiment, Orthogonal Array, Analysis of Variance, Method of (0,1) Data Analysis
    Article #:  1982
Proceedings of the 19th ISSAT International Conference on Reliability and Quality in Design
August 5-7, 2013 - Honolulu, Hawaii, U.S.A.