電腦整合製造與智慧工廠
Computer Integrated Manufacturing and Smart Factory
| 節 | 週一 |
|---|---|
9 17:30–18:20 | 電腦整合製造與智慧工廠 3 節連堂 |
A 18:30–19:20 | |
B 19:30–20:20 |
* 根據陽明交大上課時間表所列
(1) Students are to acquire certain level of overall understanding of Smart Manufacturing. (2) Students are to gain exposure of real-world manufacturing processes (laser cutting, for example) and issues at the (a) work cell (工作站), (b) production line (生產線), (c) machine shop (工廠車間), (d) corporation (公司企業) level. (3) Students are to be aware of the technology and methods available to lessen the manufacturing obstacles as well as to improve the productivity at each level. (4) Students are to grasp further about the Industry 4.0 (工業4.0, IIoT) and see how it can help manufacturing today and future (5) Students to possibly gain hand-on experience for Industry 4.0 or system integration on selected device(s) if equipment/device available This course is NOT to teach students details of "system solution" or "architectural structure" for an individual manufacturing problem, because each real-world manufacturing problem would typically take many months of team effort. This is not possible at school, so instead an overall introduction of subjects is offered, such as artificial intelligence (machine learning), big data, automation, optimization, Industry 4.0, blockchain, and others. Students will be asked to (1) investigate particular issues assigned by the teacher as homework after teacher's overall introduction, and present the finding in the next week class (probably not everyone given the time limitation), (2) use optimization method and/or programming (e.g. C++) to solve a real-world "smart manufacturing" problem, (3) use Machine Learning (Python) method to predict a real-world manufacturing problem. The final project (no final exam in this course) will require students present his/her report in front of the entire class. Verbal communication is pivotal to the future success of students in my opinion. Students should clearly explain what his/her chosen topic is, how the issue is handled, and some possible steps or directions of improvement.
(1) Machine Shop Practice (工廠實習) recommended, (2) English – reading and writing English PPT a must, preferable capable of verbal conversation but not necessary (基本的英語讀聽寫能力), (3) Some programming (C++, Python, Matlab, C#, Java, etc.) experience necessary, (4) Math - Calculus or simple Algebra (基本的微積分或代數), (5) Engineering Drawing (工程圖學) recommended
(1) PPT slides through overhead projector (2) videos through overhead projector (3) students should be personal laptop for homework (programming, machine learning), (4) teacher will issue "investigation" subject for students to research (gather information, report, and possible presentation) after teacher's in-class presentation, (5) a midterm (test or project) + a final project (6) 1 TA (助教), Students are encouraged to seek information on website, books, data archive (網站或圖書及資料庫) as specified in the textbook and reference book, or search on websites (Google search) Possible field trip by bus to Taichung or other city
Attendance + Quiz (in class) 10% Homework 25% Midterm test or project 25% Final project & presentation 40% (The percentage of each item above could be slightly modified based on real situation in the semester) --- Note 1: Service to this class (as teamwork contribution) will be rewarded with extra points (學生之班級服務貢獻將可作為課業成績之加分考量) Note 2: Teacher has the unlimited right to adjust student’s final score at teacher’s full discretion (任課教師有評定成績之最後決定權, 包含 加分/減分)
| 週次 | 主題 |
|---|---|
| 第 1 週 | introduction syllabus |
| 第 2 週 | manufacturing at cell/line/shop/company level shop floor using HVAC example Smart manufacturing case study - Taiwan & US issue HW1 |
| 第 3 週 | continue Smart manufacturing case study - Taiwan & US "It's a journey, not a destination" - Vision, Strategy, Execution (chapter 1 of textbook) |
| 第 4 週 | continue "It's a journey, not a destination" - Vision, Strategy, Execution (chapter 1 of textbook) computer aided manufacturing - resource and planning, shop floor layout issue HW2 |
| 第 5 週 | continue computer aided manufacturing - (1) review process example, layout example (exercise on HW2 and review my design), (2) review CM, FMS, DM, VM as flexible layout. Focus more on FMS |
| 第 6 週 | holiday |
| 第 7 週 | HW2 review & discussion review layout of rigid & automation FMS user case simulation - HW & final project Group Technology |
| 第 8 週 | rescheduled |
| 第 9 週 | Group Technology GT user cases issue midterm project (GT) issue final project (Smart CAM) |
| 第 10 週 | 1. review midterm progress and explain again 2. Ch.10 "A systems engineering-driven decomposition approach for large-scale industrial decision-making processes" 3. system overview and practical approach to the multi-disciplinary optimization (MDO), multi-criteria optimization (MCO) 4. introduction to optimization and its categories |
| 第 11 週 | 1. teach linear programming 2. let students practice linear programming with examples using Python 2. share several user cases from industry - air cargo, shop floor working schedule, worker's hour re-alignment 3. issue HW4 |
| 第 12 週 | 1. teach nonlinear programming with introductory math. explanation 2. use Python to let students practice nonlinear programming with examples 3. share several user cases from industry - car's bracket, car's hood 4. talk about size/shape/topology optimization (nonlinear) and search direction methods (steepest descent, conjugate gradient, newton's, quasi-newton) |
| 第 13 週 | 1. teach integer optimization 2. hand-on Python exercise to solve integer optimization example2 3. traveling salesman problem, formulation, and Python PuLP to solve it. 4. MDO and 5 approaches. 5. review Final Project |
| 第 14 週 | Amada Taiwan visit to see automation setup leaving NYCU at 8 am arriving Amada 9:45 am demo at 10 - 11:30 am leaving Amada 11:30 am back to NYCU |
| 第 15 週 | today's class rescheduled. today is the compensation day for NDU party. Class is rescheduled to 12/21(requested by NDU). |
| 第 16 週 | 1. TSMC guided tour at TSMC innovation center (2:30 pm - 3:45 pm) 2. Automation, Innovation of TSMC 3. compensate week 8 |
| 第 16 週 | Industry 4.0 Smart Manufacturing System (Ch. 8) Preventive Maintenance Industrial AI Intelligent Bandsaw case study Ram price case study Tool's wear & tear case study |
| 第 16 週 | Final exam test (take home, open book) issued on 12/20 due on 12/22 |
Reference Books 1. Computer Aided Design and Manufacturing by Xiaoqian Wang and Zhuming Bi, Wiley and Sons Ltd., 2020, ISBN:978-1119534211 2. Smart Manufacturing: Concepts and Methods, by Masoud Soroush, Michael Baldea and Thomas Edgar, Elsevier, 2020, ISBN:978-0128200278 3. 智慧製造: 資料庫與大數據分析, 洪哲倫,蔡英德,張志宏,詹毓偉, 教育部智慧製造計劃執行報告 4. 智慧製造: 感測聯網與數據處理分析技術, 鄭志鈞,蔡孟勳,高永州,程文男,蔡秉鈞,陳韋任,劉德葳,郭育聽,邱昱升,張訓誠, 教育部智慧製造計劃執行報告 5. Smart Manufacturing (智能工廠來了 - 創新實驗記錄), 陳泳翰, 天下雜誌 6. Introduction to Machine Learning with Python, Andreas C. Muller & Sarah Guido, O'Reilly Media Inc., 2017 7. Public resources, Internet websites, etc.
- 地點
- (1) classroom (2) office EE444
- 時間
- 1) after Monday class (2) by appointment
- 聯絡方式
- (1) yearnhwang@nycu.edu.tw (2) 0966-420208 (Taiwan cell) (3) LINE class group