課程資訊
課程名稱
確定型模式與方法
Deterministic Models and Methods 
開課學期
100-1 
授課對象
工學院  機械工程學系  
授課教師
周雍強 
課號
IE5036 
課程識別碼
546 U6060 
班次
 
學分
全/半年
半年 
必/選修
選修 
上課時間
星期四6,7,8(13:20~16:20) 
上課地點
 
備註
總人數上限:25人
外系人數限制:10人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1001DMM 
課程簡介影片
 
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課程概述

Over the last two decades, the globalization trend has brought about vibrant supply, demand and engineering chains of production. These systems are dynamic in their evolution, configuration and operation. At the same time, large scale, complex factories have been developed. In this course, we will discuss mathematical tools for analysis and optimization of production by factory and collaborative enterprise chain. This course will cover linear programming, unconstrained optimization, stochastic linear programming, non-linear programming, integer programming, and dynamic system optimization. We will use example problems in production systems engineering and industrial economics to develop in-depth understanding of the theory. 

課程目標
The objective of this course is to develop mathematical sophistication that is required in research work in production systems engineering and industrial economics. Students will learn how to model problems and optimize solutions in resource configuration, product portfolio planning, competition game, manufacturing strategy, and risk control.
 
課程要求
 
預期每週課後學習時數
 
Office Hours
 
指定閱讀
 
參考書目
(1)Introduction to Linear Optimization, by Bertsimas and Tsitsiklis, Athena Scientific, 1997, chapters 1, 2 (geometry of LP), 4 (duality), 5 (sensitivity), 10 (IP formulation), 11 (IP methods).
(2)Introduction to Stochastic Programming, by John R. Birge and F. Louveaux, Springer-Verlag, New York, 1997, Chapters 1-4.
(3)Linear and Nonlinear Programming, by Stephen Nash and Ariela Sofer, McGraw-Hill International Edition, 1996. Chapters 2 (fundamentals of optimization), and 10 (unconstrained optimization).
(4)Dynamic Optimization, by Alpha C. Chiang, 1992, McGraw-Hill, Chapters 1, 2, 7, 8. Or, Dynamic programming and optimal control, Dimitri P. Bertsekas, 2nd edition, Chapter 4. 
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
Homework 
40% 
 
2. 
Mid-term Exam 
30% 
 
3. 
Final Exam 
30% 
 
 
課程進度
週次
日期
單元主題
第1週
9/15  Introduction 
第2週
9/22  Linear Algebra 
第3週
9/29  Geometric interprtaion; contingent claims 
第4週
10/06  Linear programming 
第5週
10/13  Lingo software and applications 
第6週
10/20  Duality 
第7週
10/27  Duality; Extension to nonlinear programming 
第8週
11/03  Solution methods 
第9週
11/10  Mid-term exam 
第10週
11/17  Integer programming 
第11週
11/24  Integer programming 
第12週
12/01  IP applications 
第13週
12/08  Stochastic linear programming 
第14週
12/15  Linear dynamic system 
第15週
12/22  Unconstraint optimization 
第16週
12/29  Dynamic optimization 
第17週
1/05  Optimal control