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한밭대학교산업경영공학과

HIGHHANBAT

Overview

Department of Industrial Management Engineering HANBAT NATIONAL UNIVERSITY

Department Office Phone Number : 821-1224

Department Overview

Industrial and management engineering is a discipline that seeks to solve problems in all areas of society using scientific and engineering approaches but with a management mindset. Accordingly, various methods necessary to address all kinds of encountered in the industrial field are examined and explored in a systematic and logical manner.
Industrial and management engineering techniques are applied not only to production and manufacturing sites, but also to marketing, finance, and human resources to improve the quality and productivity of products and services, enable scientific business management activities, and enhance corporate competitiveness. In recent years, applications have extended to social engineering, which targets not only communication systems and information technology (IT), but also social welfare and cultural technology.

Objectives

The Department of Industrial and Management Engineering aims to acquire the scientific management techniques necessary to optimize the design and operation of production, quality, information, and human-machine systems, to apply the acquired knowledge not only to manufacturing but also to the fields of telecommunications, IT, social welfare, and culture and arts, and to train advanced manpower to lead the improvement of the competitiveness of the entire society, including both public and private sectors, in the advanced information society of the 21st century.

Goals

  • Cultivate students’ ability to identify problems at the production site and solve them creatively and scientifically based on the convergence of knowledge in smart factory hardware and software
  • Cultivate smart factory optimization experts with competencies related to big data-based artificial intelligence
  • Cultivate smart equipment with practical knowledge of equipment interface, control, and automation based on an overall understanding of big data platforms for production

Learning Outcomes of the Program and Their Relationship to Goals Effective for incoming class of 2019

Learning Outcomes of the Program and Their Relationship to Goals(Effective for incoming class of 2019) - Goal, Learning Outcome
Goal Learning Outcome
Cultivate students’ ability to identify problems at the production site and solve them creatively and scientifically based on the convergence of knowledge in smart factory hardware and software 2 Data analysis: The ability to analyze data and verify a given fact or hypothesis through experiments
3 Formalization: The ability to define and formulate engineering problems (4)
6 Teamwork: The ability to contribute to team performance as a member of a project team in solving engineering problems
11 Industry-university practice: The ability to understand the basic concepts and knowledge required for the application of industrial and management engineering in the field
Cultivate smart factory optimization experts with competencies related to big data-based artificial intelligence 1 Basic knowledge: The ability to apply knowledge of math, basic science, engineering, and information technology to solve engineering problems
4 Practical tools: The ability to utilize the latest information, research findings, and appropriate tools to solve engineering problems.
5 Design implementation: The ability to design systems, elements, processes, etc. in consideration of realistic constraints
Cultivate smart equipment with practical knowledge of equipment interface, control, and automation based on an overall understanding of big data platforms for production 7 Communication: The ability to communicate effectively in a variety of contexts
8 Understanding of impacts: The ability to understand the impact of engineering solutions on health, safety, economics, environment, sustainability, etc.
9 Sense of responsibility: The ability to understand the professional ethics and social responsibility of engineers
10 Personal development: The ability to recognize the need for personal development as the technology environment changes and to continuously pursue self-directed learning