物流作業規劃模式
Planning Models for Logistics Operations
| 節 | 週二 |
|---|---|
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
Based on mathematical models, the objective of this course is to analyze the problems and present the solution algorithms for the planning and resource scheduling problems in a logistics system. The main issues covered in the course include forecasting analysis, inventory management, production/operations planning, operations scheduling and project planning and scheduling. In particular, the decisions problems for both planning (long-term) and operational (short-term) levels are discussed. In addition, this course not only addresses the problems from the methodology point of view, but also put considerable emphasis on the practical sides of logistics management. Finally, the course incorporates the software package application (e.g., EXCEL) and the programming skill training so as build up students' experience and capability to solve the practical problems that might be encountered in the field.
None.
無備註
Lecture
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 on-line. All the examinations will be in-class. 2. Pedagogy and other supplementary information (websites, TAs, handouts and/or databases): http://e3.nctu.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：
- 18
Operations Scheduling
1. The job shop scheduling problem. 2. Sequencing rules and results. 3. Line balancing.
- 講授：
- 12
Project Scheduling
1. Critical path/ Time costing methods. (Online learning) 2. Project scheduling with uncertain activity times. (Online learning)
- 講授：
- 6
| 週次 | 主題 |
|---|---|
| 第 1 週 | Course Introduction Demand Forecasting Models 2023-02-14(二) |
| 第 2 週 | Demand Forecasting Models 2023-02-21(二) |
| 第 3 週 | The aggregate planning problem Solving the aggregate planning problem by linear programming 2023-02-28(二) |
| 第 4 週 | Basic EOQ Models and Other deterministic inventory models 2023-03-07(二) |
| 第 5 週 | News vendor problem Lot size – reorder point systems 2023-03-14(二) |
| 第 6 週 | The periodic review model Examination I (Chapters 2, 3 and 4) 2023-03-21(二) |
| 第 7 週 | Push vs Pull MRP basics 2023-03-28(二) |
| 第 8 週 | Spring break 2023-04-04(二) |
| 第 9 週 | Dynamic lot sizing models 2023-04-11(二) |
| 第 10 週 | Optimal lot sizing for time-varying demand 2023-04-18(二) |
| 第 11 週 | Incorporate lot sizing into explosion calculus 2023-04-25(二) |
| 第 12 週 | Lot sizing with capacity constraints Examination II (Chapters 5 and 6/Optimal lot sizing ) 2023-05-02(二) |
| 第 13 週 | JIT fundamentals (Parts lectured by online learning) 2023-05-09(二) |
| 第 14 週 | The job shop scheduling problem 2023-05-16(二) |
| 第 15 週 | Sequencing rules and results 2023-05-23(二) |
| 第 16 週 | Line balancing 2023-05-30(二) |
| 第 17 週 | Examination III 2023-06-06(二) |
| 第 18 週 | Critical path/ Time costing methods (Online learning) 2023-06-13(二) |
Steven Nahmias, Production and Operations Analysis (6/e), McGraw Hill/Irwin, 2009.
- 地點
- Assembly Building One A809: Prof. Ming-Jong Yao
- 時間
- 2 EFG
- 聯絡方式
- Prof. Ming-Jong Yao ext: 57215; myao@nycu.edu.tw