品質管理包含了許多的層面其中也用到了許多工具，本課程主要以統計的角度出發介紹各種統計方法在品質管理中所扮演的角色。在課程規劃上，本課程將包含 1. 品質的意義與量化 2. 品質管理工具的介紹 3. 統計管制圖 (1) 統計假設檢定與管制圖的理論基礎 (2) 計量管制圖 (control chart for variables) (3) 計數管制圖 (control chart for attibutes) (4) 累積合管制圖 (CUSUM) (5) 加權移動平均管制圖 (EWMA) 4. 制程能力分析 (capability analysis) 5. 因子實驗設計 (factorial design) 6. 驗收抽驗 (acceptance sampling) 在完成本課程將培養學生認識品質管理所需的基本知識、統計管制圖與因子實驗設計的模式建構及理論推導的能力並能將其應用在實際的問題上。Quality management includes many aspects and uses many tools. This course mainly introduces the role of various statistical methods in quality management from a statistical perspective. In terms of course planning, this course will include 1. The meaning and quantification of quality 2. Introduction to quality management tools 3. Statistical control charts (1) Statistical hypothesis testing and the theoretical basis of control charts (2) Control charts for variables) (3) Control chart for attibutes (4) Cumulative combined control chart (CUSUM) (5) Weighted moving average control chart (EWMA) 4. Process capability analysis (capability analysis) 5. Factorial design (factorial design) 6. Acceptance sampling After completing this course, students will develop the basic knowledge required for quality management, the ability to construct models and theoretical derivation of statistical control charts and factorial experimental design, and be able to Apply it to real problems.
Statistical Quality Control: A Modern Introduction 7/e
如果有中譯本 會使用此教科書中譯版
Statistical Quality Control: A Modern Introduction 7/e
If a Chinese translation is available, the Chinese translation of this textbook will be used
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| Attendance Attendance attendance |
10 | |
| Midterm ExamMidterm Exam midterm exam |
25 | |
| Final Exam Final Exam final exam |
25 | |
| Homework and real problem exercisesHomework and real problem exercises homework Andrea l problem exercises |
40 |
