|Program||Bachelor [학사과정]||Course Type||Major Required [ 전공필수 ]|
|Course Code||31.251||Course No||IE251|
- Mon: 09:00~11:45
|Course Title||Manufacturing Process Innovation [ 제조 프로세스 혁신 ]|
Mon: 09:00~10:30 / (E2)Industrial Engineering & Management Bldg. [ (E2)산업경영학동 ] (2504)
Wed: 09:00~10:30 / (E2)Industrial Engineering & Management Bldg. [ (E2)산업경영학동 ] (2504)
|Department||산업및시스템공학과(Department of Industrial & Systems Engineering)|
|Syllabus File||Syllabus IE251 - 2018S - Manufacturing Process Innovation.docx|
|Summary of Lecture||? This class is designed for the second year undergraduate students at KAIST majoring in Industrial and Systems Engineering (ISysE). The primary goal of this course is to help students develop problem solving skills with ISysE methods in the context of manufacturing planning and control. Students will learn the fundamentals of manufacturing system operations and various manufacturing system related issues such as inventory decisions, production planning, scheduling, supply chain management, and IT and Internet of Thing (IoT) in production systems.
? Since this is the first mandatory class for the ISysE major students, the class also introduces the fundamental ISysE problem solving techniques and knowledge including mathematical modeling, mathematical programming, probability system modeling and statistical analysis with the problems related to manufacturing operations.
? The lectures will focus on the theoretical aspects of the manufacturing related topics. Homework and products will emphasize the practical applications and case studies conducted by the instructor. Additional instruction may be provided through guest lectures from industry, videos lectures, or games to help match theory and practice.
|Material for Teaching||Textbook:
? Factory Physics: The Foundations of Manufacturing Management, 3rd Ed. (2011) by Hopp and Spearman, Irwin Press
? Management Concert, Business Books Press (2010)
? The Goal: A Process of Ongoing Improvement (1992) by Eliyahu M. Goldratt and Jeff Cox
|Evaluation Criteria||? Exams: 40 %
? Quizzes: 20 %
? Participation: 20%
? Group Project: 20 %
|Lecture Schedule||- 1(st) Week :
- 2(st) Week :
- 3(st) Week :
- 4(st) Week :
|Memo||Assistant Name: TBD|