本課程將介紹如何利用統計方法來監管與最佳化生產程序 (production processes) 或作業流程 (operation processes)。本課程的第一部分首先深入淺出介紹統計推論方法，課程的第二部份利用統計檢定方法來發展出統計管制方法，課程的第三部份則利用實驗設計方法與統計迴歸分析來發展出最佳化方法。本課程全程將利用半導體生產製程資料及服務業作業流程資料做為實例以Excel來?明課程內容及習題演練之用。
Course Outline:
I. Review of Statistics (5 classes)
Outcome Space, Events, Permutation, and Combination
Random Variables
Conditional Probability and Bayes Theorem
Probability Distribution Models
Central Limit Theorem
Purpose and Nature of Sampling
Descriptive Statistics
Q-Q Probability Plot
Statistics and Point Estimate
Moment Estimate
Maximum Likelihood Estimate
Statistical Confidence Interval
Statistical Hypothesis Testing
Testing Means
Testing Variances
II. Statistical Process Control (5 classes)
Conceptual Framework
Construction of Shewhart Control Charts
Shewhart Control Charts for Attribute Data
Interpretation of Shewhart Control Charts
Importance of Rational Grouping and Sampling
Control Charts for Individual Measurements
CUSUM and EWMA Control Charts
Closing the Control Loop
Process Capability Assessment
Statistical Process Control and Automatic Process Control
III. Statistical Optimization (5 classes)
Taguchi Method
Conceptual Framework for Robust Design
Planned Experimentation using Orthogonal Arrays
Steps in Robust Design
Design and Analysis of Factorial Experiments
Regression Analysis and Response Surface
Two-Level Fractional Factorial Designs
Analysis of Fractional Factorial Experiments
Sequential and Iterative Nature of Experimentation
Response Surface Method (RSM)