For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| ESM4043 | Advanced Topics in SCM | 3 | 6 | Major | Bachelor/Master | 1-4 | - | No | |
| The course studies a range of advanced topics about models and applications in supply chain management. A special attention will be given to development of state-of-the-art mathematical models and solution methods to find optimal solutions based on theories in operations research. Topics includes planning production in supply chains, inventory management models, transportation decision in supply chain management, location and distribution decisions in supply chains, supplier selection models, supply chain risk management and global supply chain management. | |||||||||
| ESM4043 | Advanced Topics in SCM | 3 | 6 | Major | Bachelor/Master | 1-4 | Industrial Engineering | - | No |
| The course studies a range of advanced topics about models and applications in supply chain management. A special attention will be given to development of state-of-the-art mathematical models and solution methods to find optimal solutions based on theories in operations research. Topics includes planning production in supply chains, inventory management models, transportation decision in supply chain management, location and distribution decisions in supply chains, supplier selection models, supply chain risk management and global supply chain management. | |||||||||
| ESM4047 | Logistics Management System | 3 | 6 | Major | Bachelor/Master | 1-4 | - | No | |
| Logistics is a closely related concept of supply chain management that plans and controls forward and reverse flow and storage of goods, services, and information in the chain. From the raw materials to finished goods on the retail shelf, products must be repeatedly handled, stored, and moved. This course provides fundamental knowledge of logistics systems such as material management system, material flow system, and physical distribution system. This course is focused on locating facilities, freight transport, material handling systems such as automated guided vehicle, conveyor, overhead hoist transport, and design and control of automated warehouse systems. Students are expected to have basic knowledge of operations research and computer programming. The scope of this course is from basic forecasting methods for purchasing, inventory management, and distribution to facility location problems, warehouse management, and freight transport. The warehouse design and operation and material handling systems are especially handled in detail. The objectives of this course are to provide students with a broad overview of logistics and in-depth understanding of logistics management systems, and an understanding of concepts and solution approaches important to analyze the logistics operation of the systems. Course grading: Homework, Attendance & Quizzes, Project, Midterm exam, Final exam. Text: Introduction to Logistics Systems Management, Gianpaolo Ghiani, Wiley. | |||||||||
| ESM4047 | Logistics Management System | 3 | 6 | Major | Bachelor/Master | 1-4 | Industrial Engineering | - | No |
| Logistics is a closely related concept of supply chain management that plans and controls forward and reverse flow and storage of goods, services, and information in the chain. From the raw materials to finished goods on the retail shelf, products must be repeatedly handled, stored, and moved. This course provides fundamental knowledge of logistics systems such as material management system, material flow system, and physical distribution system. This course is focused on locating facilities, freight transport, material handling systems such as automated guided vehicle, conveyor, overhead hoist transport, and design and control of automated warehouse systems. Students are expected to have basic knowledge of operations research and computer programming. The scope of this course is from basic forecasting methods for purchasing, inventory management, and distribution to facility location problems, warehouse management, and freight transport. The warehouse design and operation and material handling systems are especially handled in detail. The objectives of this course are to provide students with a broad overview of logistics and in-depth understanding of logistics management systems, and an understanding of concepts and solution approaches important to analyze the logistics operation of the systems. Course grading: Homework, Attendance & Quizzes, Project, Midterm exam, Final exam. Text: Introduction to Logistics Systems Management, Gianpaolo Ghiani, Wiley. | |||||||||
| ESM4050 | Introduction to Smart Factory | 3 | 6 | Major | Bachelor/Master | Industrial Engineering | Korean | Yes | |
| This course introduces Smart Manufacturing and Smart Factory. It covers the basics of smart factory, including backgrounds/concepts/core technologies/case studies/strategies and methods. The students will learn about the history and the manufacturing system of the future, and how to design, implement and operate smart factory. | |||||||||
| ESM4050 | Introduction to Smart Factory | 3 | 6 | Major | Bachelor/Master | Industrial Engineering | Korean | Yes | |
| This course introduces Smart Manufacturing and Smart Factory. It covers the basics of smart factory, including backgrounds/concepts/core technologies/case studies/strategies and methods. The students will learn about the history and the manufacturing system of the future, and how to design, implement and operate smart factory. | |||||||||
| ESM4100 | Independent Research for University and Industry Collaboration in Smart FactoryⅠ | 3 | 6 | Major | Bachelor/Master | Korean | Yes | ||
| The students will participate in a collaborative research project among industry, university and research institution in Smart Factory, and conduct practical independent research related to design and operation of smart factory, or development of software solutions. | |||||||||
| ESM4100 | Independent Research for University and Industry Collaboration in Smart FactoryⅠ | 3 | 6 | Major | Bachelor/Master | Industrial Engineering | Korean | Yes | |
| The students will participate in a collaborative research project among industry, university and research institution in Smart Factory, and conduct practical independent research related to design and operation of smart factory, or development of software solutions. | |||||||||
| ESM4101 | Big Data Practices for Manufacturing | 3 | 6 | Major | Bachelor/Master | - | No | ||
| In this course, we take a detailed look at different types of data which can be obtained from real manufacturing systems. We also learn how to preprocess the data and which analytical methods should be chosen to each of the problems from real manufacturing sites. Students will perform a term project based on open datasets related to manufacturing. | |||||||||
| ESM4101 | Big Data Practices for Manufacturing | 3 | 6 | Major | Bachelor/Master | Industrial Engineering | - | No | |
| In this course, we take a detailed look at different types of data which can be obtained from real manufacturing systems. We also learn how to preprocess the data and which analytical methods should be chosen to each of the problems from real manufacturing sites. Students will perform a term project based on open datasets related to manufacturing. | |||||||||
| ESM4102 | IIoT Embedded System in Demo Smart Factory | 3 | 6 | Major | Bachelor/Master | - | No | ||
| This course deals with the understanding of smart factories and the structure and components of the Industrial Internet of Things (IIoT) and learns the process of solving real manufacturing problems using the IIoT embedded system at the demonstration | |||||||||
| ESM4102 | IIoT Embedded System in Demo Smart Factory | 3 | 6 | Major | Bachelor/Master | Industrial Engineering | - | No | |
| This course deals with the understanding of smart factories and the structure and components of the Industrial Internet of Things (IIoT) and learns the process of solving real manufacturing problems using the IIoT embedded system at the demonstration | |||||||||
| ESM4103 | ICT Convergence and Practice in Smart Factory | 3 | 6 | Major | Bachelor/Master | - | No | ||
| This course deals with process design and control optimization techniques using information and communication technologies (ICT). It will utilize a commercial solution to provide practices for a assembly process design, real-time data collection/analysis/optimization, and a digital twin configuration with physical equipment. | |||||||||
| ESM4103 | ICT Convergence and Practice in Smart Factory | 3 | 6 | Major | Bachelor/Master | Industrial Engineering | - | No | |
| This course deals with process design and control optimization techniques using information and communication technologies (ICT). It will utilize a commercial solution to provide practices for a assembly process design, real-time data collection/analysis/optimization, and a digital twin configuration with physical equipment. | |||||||||
| ESM4104 | Smart Operations Management | 3 | 6 | Major | Bachelor/Master | - | No | ||
| This course will introduce basic concepts of operations management for smart factories and techniques for demand forecasting, inventory management, layout, capacity planning, and production planning and scheduling. | |||||||||