Close
READ ME --> This is a "vanilla plain" jqModal window. Behavior and appeareance extend far beyond this. The demonstrations on this page will show off a few possibilites. I recommend walking through each one to get an understanding of jqModal before using it.

You can view the sourcecode of examples by clicking the Javascript, CSS, and HTML tabs. Be sure to checkout the documentation too!

NOTE; You can close windows by clicking the tinted background known as the "overlay". Clicking the overlay will have no effect if the "modal" parameter is passed, or if the overlay is disabled.
Syllabus

Infomation of Course

Program Common [공통(상호인정)] Course Type Major Elective [ 전공선택 ]
Course Code 31.426 Course No IE426
Section English English
L:L:C(AU) 3:0:3.0(0) Exam time
(classroom)
- Tue: 09:00~11:45
()
Course Title Supply Chain Management [ 공급체인관리 ]
Class time
(classroom)
Tue: 09:00~10:30 / (E2)Industrial Engineering & Management Bldg. [ (E2)산업경영학동 ] (2504)
Thu: 09:00~10:30 / (E2)Industrial Engineering & Management Bldg. [ (E2)산업경영학동 ] (2504)
Notice

Information of Professor

Name 장영재(JANG, Young Jae)
Department 산업및시스템공학과(Department of Industrial & Systems Engineering)
Phone 042-350-3130
E-Mail yjang@kaist.ac.kr

Plan of Lecture

Syllabus File Syllabus.pdf
Syllabus URL https://www.notion.so/Syllabus-4c89352bfdac4dc586c3cb4e8f15ddef
Summary of Lecture This course provides an introduction to methods for managing production, inventory, and distribution systems. Topics covered include capacity planning, facility location, production planning and scheduling, inventory control, and supply chain coordination. The objective of the course is to familiarize you with quantitative models that can be used to make decisions in each of these areas. Special emphasis will be given to the link between theories and actual applications in industries. Various actual cases, including Amazon.com, Zara, BMW Automotive, Dell Computer, HP, Nike, and LG Electronics will be discussed. This course is highly recommended to students who are pursuing a career in business consulting, project management, manufacturing engineering, business operations/planning, and other fields requiring strong analytical skills in Supply Chain Management. The class will cover AI based (Deep Learning, Reinforcement Learning) inventory optimization, logistics systems design, and logistics management.
Material for Teaching - Main textbook : - Production and Operations Analysis, Nahmias and Olsen (7th Edition)
- Auxiliary textbook :
- Designing and Managing The Supply Chain, Simchi-Levi, Kaminsky, and Simchi-Levi (3rd Edition)
- Fundamentals of Supply Chain Theory, Lawrence V.Snyder, Zuo-Jun Max Shen (2nd Edition)
- 경영학콘서트 (Management Concert), 비즈니스북스 2010
Evaluation Criteria - 12 Pop-up quizzes (40%)
- Assignments (30%)
- Projects (20%)
- Class participant (10%) - video watching time
Lecture Schedule https://www.notion.so/291d604e04934a4a949b0f62123daf0d?v=2f7042cdf5d1401bb93fb2d712592a6a
Memo