物流作業規劃模式
Planning Models for Logistics Operations
| 節 | 週四 |
|---|---|
2 09:00–09:50 | 物流作業規劃模式 A905（光復） 3 節連堂 |
3 10:10–11:00 | |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
This course aims to analyze planning and resource scheduling problems within logistics systems using mathematical models. It covers key topics such as forecasting analysis, inventory management, production and operations planning, and operations scheduling. The course addresses both long-term planning and short-term operational issues. In addition to methodology, significant emphasis is placed on the practical aspects of logistics management. Furthermore, the course includes training in software applications, such as Excel, to enhance students' ability to tackle real-world problems they may encounter in the field.
None.
無備註
Lecture and homework
1. Evaluation and Grading Policy: (1) Homework: 20%; (2) Class Participation: 5%; (3) Exam I: 25%; (4) Exam II: 25%; (5) Exam III: 25%; The instructor will give in-class lectures unless the University mandates all the courses must be given online. All the examinations will be in class. Please do NOT take this course if you need to take your final examination before Prof. Yao's planned schedule (i.e., 2026/06/11). Students needing three credits from this course for graduation should pay close attention to this message. Here are two suggestions for you: (1) Consider dropping this course and choosing one that you feel more confident in. - Please note that some students have failed this course over the past two years. - Additionally, there will NOT be any opportunities for extra projects, exercises, or reports to earn extra points for any student. (2) Alternatively, practice using the examples in the handouts, the exercise problems, and the additional supplement problems available in the E3 system to prepare for the examinations. 2. Pedagogy and other supplementary information (websites, TAs, handouts, and/or databases): http://e3p.nycu.edu.tw/
Demand Forecasting
1. Times Series Model 2. Causal Model
- 講授：
- 6
Inventory Control Problems
1. The aggregate planning problem 2. EOQ Model and its variants 3. Stochastic Inventory Models
- 講授：
- 12
Push and Pull Production Control Systems
1. Push vs Pull 2. MRP basics/Optimal lot sizing 3. JIT basics 4. Comparison of JIT and MRP
- 講授：
- 15
Operations Scheduling
1. The job shop scheduling problem. 2. Sequencing rules and results. 3. Line balancing.
- 講授：
- 12
| 週次 | 主題 |
|---|---|
| 第 1 週 | Course Introduction Demand Forecasting Models 2026-02-26(四) 時數：[2026-02-26]姚銘忠(3.00) |
| 第 2 週 | Demand Forecasting Models 2026-03-05(四) 時數：[2026-03-05]姚銘忠(3.00) |
| 第 3 週 | The aggregate planning problem Solving the aggregate planning problem by linear programming 2026-03-12(四) 時數：[2026-03-12]姚銘忠(3.00) |
| 第 4 週 | Basic EOQ Models and other deterministic inventory models 2026-03-19(四) 時數：[2026-03-19]姚銘忠(3.00) |
| 第 5 週 | News vendor problem Lot size – reorder point systems 2026-03-26(四) 時數：[2026-03-26]姚銘忠(3.00) |
| 第 6 週 | Memorial Day vacation 2026-04-02(四) 時數：[2026-04-02]姚銘忠(3.00) |
| 第 7 週 | The periodic review model Examination I (Chapters 2, 3 and, 4) 2026-04-09(四) 時數：[2026-04-09]姚銘忠(3.00) |
| 第 8 週 | Push vs Pull MRP basics 2026-04-16(四) 時數：[2026-04-16]姚銘忠(3.00) |
| 第 9 週 | Dynamic lot sizing models 2026-04-23(四) 時數：[2026-04-23]姚銘忠(3.00) |
| 第 10 週 | Optimal lot sizing for time-varying demand 2026-04-30(四) 時數：[2026-04-30]姚銘忠(3.00) |
| 第 11 週 | Incorporate lot sizing into explosion calculus 2026-05-07(四) 時數：[2026-05-07]姚銘忠(3.00) |
| 第 12 週 | Lot sizing with capacity constraints Examination II (Chapters 5 and 6/Optimal lot sizing ) 2026-05-14(四) 時數：[2026-05-14]姚銘忠(3.00) |
| 第 13 週 | JIT fundamentals The job shop scheduling problem 2026-05-21(四) 時數：[2026-05-21]姚銘忠(3.00) |
| 第 14 週 | Sequencing rules and results 2026-05-28(四) 時數：[2026-05-28]姚銘忠(3.00) |
| 第 15 週 | Line balancing 2026-06-04(四) 時數：[2026-06-04]姚銘忠(3.00) |
| 第 16 週 | Examination III (All after Examine II) 2026-06-11(四) 時數：[2026-06-11]姚銘忠(3.00) |
Steven Nahmias, Production and Operations Analysis (6/e), McGraw Hill/Irwin, 2009.
- 地點
- Assembly Building One A809: Prof. Ming-Jong Yao
- 時間
- R 678
- 聯絡方式
- Prof. Ming-Jong Yao ext: 57215; myao@nycu.edu.tw