Variation source identification of multistage manufacturing processes through discriminant analysis and stream of variation methodology:A case study in automotive industry

Journal of Engineering Research

Aliasghar Bazdar¹  Reza Baradaran Kazemzadeh¹  Seyed Taghi Akhavan Niaki² 

[1] Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran

关键词: Antilock Brake System;    Firefly Algorithm;    Fuzzy Logic;    PID Controller;    Wheel slip control.;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: Kuwait University * Academic Publication Council

【 摘 要 】

Product quality problem is a critical issue for multistage manufacturing processes, especially in continuous production lines whereby quality characteristics are measured at the end of the line. Therefore, it is important to reduce process variation by identifying its sources and eliminating its causes. In this regard, a novel approach, to identify the source of variation in multistage manufacturing processes through integration of the Fisher's linear discriminant analysis and the stream of variation methodology, is proposed. Linear discriminant analysis separates the variation of the quality characteristics through the manufacturing process stages while the stream of variation methodology is used for variation propagation modeling in multistage manufacturing processes. Finally, the future deviation is assigned into the analysis in order to identify the source of variation. With an illustrative case study, it is concluded that the proposed approach improves fault diagnosis of continuous production lines in multistage manufacturing processes.

【 授权许可】

Unknown