校際選修

115-1 選課時程

進行中

  • 初選第一階段 6/15/2026
  • 初選第二階段 6/22/2026
  • 校際選修 8/24/2026
  • 初選第三階段 8/31/2026
  • 開學後加退選 9/7/2026
  • 逾期加退選 9/21/2026
選課資源

物流作業規劃模式

Planning Models for Logistics Operations

學期
114-2
學分
3 學分
當期課號
537301
永久課號
MGTM30024
開課單位
運輸與物流管理學系物流管理碩博士班
授課教師
姚銘忠
校區
光復
類別
選修
上課時間表
週四
2
09:00–09:50
物流作業規劃模式
A905
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

概述

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.

先修科目

None.

教學方式

Lecture and homework

評分方式

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/

課程大綱
  • Demand Forecasting
  • Inventory Control Problems
  • Push and Pull Production Control Systems
  • Operations Scheduling
週次計畫
週次主題
第 1 週Course Introduction Demand Forecasting Models
第 2 週Demand Forecasting Models
第 3 週The aggregate planning problem Solving the aggregate planning problem by linear programming
第 4 週Basic EOQ Models and other deterministic inventory models
第 5 週News vendor problem Lot size – reorder point systems
第 6 週Memorial Day vacation
第 7 週The periodic review model Examination I (Chapters 2, 3 and, 4)
第 8 週Push vs Pull MRP basics
第 9 週Dynamic lot sizing models
第 10 週Optimal lot sizing for time-varying demand
第 11 週Incorporate lot sizing into explosion calculus
第 12 週Lot sizing with capacity constraints Examination II (Chapters 5 and 6/Optimal lot sizing )
第 13 週JIT fundamentals The job shop scheduling problem
第 14 週Sequencing rules and results
第 15 週Line balancing
第 16 週Examination III (All after Examine II)
教科書

Steven Nahmias, Production and Operations Analysis (6/e), McGraw Hill/Irwin, 2009.

Office Hours
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