教學大綱與進度

課程基本資料：

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
112-2	328300	時間序列分析與製程控制	1	3.0	3	★	范書愷	工管所 管理博所	11	1	博碩合開

教學大綱與進度：

教師姓名	范書愷　教師諮商時間(Office Hours)
Email	morrisfan@ntut.edu.tw
最後更新時間	2024-05-15 14:11:00
課程大綱	本課程主要目的在於教導學生如何利用時間序列分析、品質製程管制、工程製程控制等方法來達成先進製程控制的目的。課程講述之內容包含下列課題:製程監控、製程調整、離散動態製程、時間序列模型、轉換方程模型、最佳回饋控制器、指數加權移動平均控制、遞迴式估計與自適應控制等。 The purpose of this course is to provide students a modern treatment of discrete-time advanced process control (APC) methods based on time series analysis, statistical process control (SPC) and engineering process control (EPC) for Quality Engineering in manufacturing. From an engineering perspective, process control is gaining recognition in the semiconductor industry as a means to compensate for equipment changes due to inconsistent operation, process drifts and process shifts. So, practical and theoretical components that comprise the foundation for the APC will be addressed as well.
課程進度	1 Process monitoring (SPC) vs. process control (EPC/APC) 2 Process monitoring (SPC) vs. process control (EPC/APC); 3 ARIMA (Box-Jenkins) time series models 4 ARIMA (Box-Jenkins) time series models 5 ARIMA (Box-Jenkins) time series models 6 ARIMA (Box-Jenkins) time series models 7 Transfer function (TF, input/output) models 8 Transfer function (TF, input/output) models 9 Midterm Exam 10 Review of Midterm Exam 11 Optimal stochastic controller design 12 Optimal stochastic controller design 13 EWMA controllers and the run-to-run (R2R) control problem 14 EWMA controllers and the run-to-run (R2R) control problem 15 Recursive estimation & self-tuning (ST) quality control 16 Recursive estimation & self-tuning (ST) quality control 17 Term Project Presentations
評量方式與標準	Grading Policy: Midterm Exam (30%), Homework (30%), Journal Paper Reading (20%), and Term Project (20%) due in part throughout the semester.
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】 使用外文原文書：是 [Textbook] E. del Castillo, Statistical Process Adjustment for Quality Control, John Wiley, 2002. [References] (1) Box, G. E. P., Jenkins, G. M., and Reinsel, G. C., Time Series Analysis, Forecasting, and Control, 4th ed., 2008. (2) Montgomery, D. C., Forecasting & Time Series Analysis, 2nd ed., 1990. (3) Box, G. E. P., and Luceo, A., Statistical Control by Monitoring and Feedback Adjustment, 1997.
課程諮詢管道	Office Hours: Monday: 10-12AM
課程對應SDGs指標
備註	按照CDC中央疫情指揮中心指示，視疫情狀況需要可採線上同步教學。 本課程乃採用 Microsoft Teams 遠距同步軟體。 We will still maintain physical lecturing in Weeks 17-18.