Statistical process control for monitoring nonlinear profiles: A six sigma project on curing process
學年 100
學期 2
出版（發表）日期 2012-03-26
作品名稱 Statistical process control for monitoring nonlinear profiles: A six sigma project on curing process
作品名稱（其他語言）
著者 Chang, Shing-i; Tsai, Tzong-ru; Lin, Dennis K. J.; Chou, Shih-hsiung; Lin, Yu-siang
單位 淡江大學統計學系
出版者 Taylor & Francis
著錄名稱、卷期、頁數 Quality Engineering 24(2), p.251-263
摘要 Curing duration and target temperature are the most critical process parameters for high-pressure hose products. The air temperature collected in the curing chamber is represented in the form of a profile. A proper statistical process control (SPC) implementation needs to consider both numeric as well as profile quality characteristics. This article describes a successful Six Sigma project in the context of statistical engineering for integrating SPC, a statistical method, to the existing practice of engineering process control (EPC) according to science. A case study on a real production curing process is thoroughly investigated. It is shown that the new findings could potentially result in significant energy savings. The solutions provided in this study can be generalized into other curing processes and applications subjected to both EPC and SPC.
關鍵字 autoclave;biplot chart;DMAIC;Hotelling T 2 chart;profile analysis
語言 en
ISSN 0898-2112
期刊性質 國外
收錄於 SCI EI
產學合作
通訊作者
審稿制度 是
國別 USA
公開徵稿
出版型式 ,電子版,紙本
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/75685 )

機構典藏連結
SDGS 優質教育,產業創新與基礎設施