Tsai, Tzong-RuChang, Shing IChou, Shih-HsiungChiang, Jyun-YouSung, Wen-Yun2014-04-182014-04-182012-03-26http://hdl.handle.net/2097/17333This study presents a new statistical process control (SPC) procedure for a process together with degradation and diffusion effects. One of such examples is the initial cool-down process of high-pressure hose production. The air temperature readings during the initial cool-down process often exhibit a non-increasing trend with a diffusion effect in that profiles generated from cycle to cycle deviate from each other more over time. A new charting procedure using the Wiener diffusion model is developed in this article. A real data set, generated from the cool-down process of high-pressure hose production, is used to demonstrate the application of proposed method.en-USThis Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).Control chartNormal distributionProfile monitoringStatistical process controlWiener diffusion modelText