IE251 Manufacturing Process Innovation 
[ 제조 프로세스 혁신 ]

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.

IE426 Supply Chain Management 
[ 공급체인관리 ]

This course will provide an introduction to methods for managing production, inventory, and distribution systems. Topics covered include demand forecasting, 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, 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.


IE436 Case Studies for Industrial & Systems Engineering 
[ 산업 및 시스템공학 사례연구 ]

It is a case-oriented class that covers major Industrial and Systems Engineering topics with various actual industry cases. This class is intended to address the growing demand in I&Systems Engineering students for real-life cases. To address this need, the class topics are selected a diverse, yet fundamental, set of cases from which to cover a number of major methods that are central to an introductory Industrial & Systems Engineering. The cases introduced in this class, for the most part, are somewhat longer and more complex than the typical short cases introduced in other theory-oriented classes.
Since this class deals with actual cases in various areas, industry specialists/practitioners will be often invited to address the real-life issues.


IE540 Dynamic Programming and Reinforcement Learning 
[ 동적계획법과 강화학습 ]

This course provides the mathematical formulation of dynamic decision making as MDP(Markov decision process), then dynamics programming is introduced as a solution to MDP. Also, for the cases where state transition or reward function is unknown, model-free reinforcement learning methods which allows to learn from interactions with environment will be introduced. Students will have a chance to look into case studies using DP & RL for manufacturing industry.


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