Course Syllabus

Course Information：

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2025	352489	Quality Management	1	3.0	3	★	RONG-HO LIN	GIEM IMBA CMGT	9	0	IMBA、工管博和管理博，823

Course Plan：

Instructor	RONG-HO LIN　Office Hours
Email	rhlin@ntut.edu.tw
Last Updated	2025-05-29 23:02:16
Course Objective	使學生瞭解品質管理的觀念、原理、領域。品管部門的組織、功能，如何管理產品或服務的品質，品管的工具、方法，如何持續改善品質的方法，品質表示法，如何評估品質管理成效，相關法令，品質管理未來趨勢。 This course lets the students understand the concepts, theories, and application areas of qualify control, organization, and functions of the quality department. Besides, the way to manage the products or the service quality, tools and methods of quality control, the way to improve the quality, quality representation method, evaluation of quality control, related regulations, and future trends are also included
Course Schedule	Part 1 Introduction 1 Quality Improvement in the Modern Business Environment 2 The DMAIC Process Part 2 Statistical Methods Useful in Quality Control and Improvement 3 Modeling Process Quality 4 Inferences About Process Quality Part 3 Basic Methods of Statistical Process Control and Capability Analysis 5 Methods and Philosophy of Statistical Process Control 6 Control Charts for Variables 7 Control Charts for Attributes 8 Process and Measurement System Capability Analysis midterm Part 4 Other Statistical Process-Monitoring and Control Techniques 9 Cumulative Sum and Exponentially Weighted Moving Average Control Charts 10 Other Univariate Statistical Process-Monitoring and Control Techniques 11 Multivariate Process Monitoring and Control 12 Engineering Process Control and SPC Part 5 Process Design and Improvement with Designed Experiments 13 Factorial and Fractional Factorial Experiments for Process Design and Improvement 14 Process Optimization with Designed Experiments Part 6 Acceptance Sampling 15 Lot-by-Lot Acceptance Sampling for Attributes 16 Other Acceptance-Sampling Techniques Final Exam and Presentation
Evaluation and grading policy	■Attendance and Homework：20% ■Class discussion, presentation, and Final Report: 40% ■Midterm Exam：20％ ■Final Exam：20％ ■Score Adjustment: at the end of the semester, the final score might be adjusted based on the class distribution, but the adjusted range of every evaluation item (1~4) will be no more than ±5%。
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Douglas C. Montgomery (Dec, 2019), Introduction to Statistical Quality Control, 8th Edition, Asia Edition
The access to curricular consultation	Course consultation arrangement: 1. Course consultation time can be reserved by email in advance or on Friday from 11 AM to 1 PM. 2. Line link at https://line.me/ti/g/9bJ3TUxa41
The course corresponds to the SDGs	SDG3：良好健康和福祉（Good Health and Well-being） SDG4：優質教育（Quality Education） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure） SDG12：負責任的消費與生產（Responsible Consumption and Production）
Does the course incorporate AI	AI2：鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
Note	If this semester is required for online class, it will be announced on https://istudy.ntut.edu.tw/teach/index.php 因應疫情發展，本學期教學及授課方式請依照學校網頁所公布之訊息為準： (https://oaa.ntut.edu.tw/p/404-1008-98622.php?Lang=zh-tw) ●Google Meet 會議：https://meet.google.com/yjn-qocj-pmh Line Group：https://line.me/ti/g/HnWpUP-maX ●Evaluation method: Mid-term and final exams take physical paper-and-pencil tests; final reports take online reports