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Management Science
& Optimization

Research

RESEARCH

01

A mathematical approach to decision-making

Management Science (MS) aims to improve an agent's ability to enact rational and meaningful management decisions.

Optimization is the selection of a best element (with regard to some criterion) from some set of available alternatives.

02

Based in scientific rigor

MS uses various research-based principles, strategies, and analytical methods such as mathematical modeling, statistics, and algorithms.

Optimization strives to find "best available" values of a variety of objective functions given a defined domain or constraints.

03

For all kinds of business applications

MSO Lab is in the process of specifically doing research on the following subjects.

  • The integration of CP, AI, and OR

  • Production planning & scheduling

  • Approximation algorithms

  • Combinatorial Optimization

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Kyungduk Moon

MS Student (2018 Fall ~)

Education

  • B.S. in Industrial and Management Engineering, 2016 
    POSTECH, Korea

  

Research Area

  • Management Science

  • Operations Management

  • Network Theory

  • Scheduling

 

Skills

  • Programming Language: Python, C++, R

  • Optimization Tools: Gurobi, Cplex, CVXRY

  • Basic Machine Learning

  • Journalism

 

Email: kaleb.moon@postech.ac.kr

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Seokwon Kim

Undergraduate Student (2015 Spring~) in POSTECH, Korea

Education

  • Industrial and Management Engineering

  

Research Area

  • Management Science

  • Operations Research

  • Scheduling

 

Skills

  • Programming Language: Python, C++

  • Optimization Tools: Gurobi, Cplex

Email: diesirae9725@postech.ac.kr

Publication

PUBLICATION

50 international journal papers published in or accepted
at refereed journals

2 working papers submitted to international journals 

9 International Conference Proceedings in the field of

operations research and optimization

2 Book chapters published in the field of production and

operations management

Members

MEMBERS

Director
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Dr. Kangbok Lee

Professor

Research Area

  • Management Science

  • Supply Chain Management

  • Combinatorial Optimization

 

Tel: +82-54-279-2374

Email: kblee@postech.ac.kr

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Juntaek Hong

M.S.-Ph.D. Integrated Student (2016 Fall ~)

​B.S. at POSTECH, Korea

  • Industrial and Management Engineering

  

Research Area

  • Scheduling

  • Combinatorial Optimization

Email: hongjt3000@postech.ac.kr

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Kyungduk Moon

Ph.D. Student (2020 Spring ~)

B.S. at POSTECH, Korea

  • Industrial and Management Engineering

M.S. at POSTECH, Korea

  • Industrial and Management Engineering

 

Research Area

  • Operations Research

  • Combinatorial Optimization

Email: kaleb.moon@postech.ac.kr

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Gwanhee Lee

M.S.-Ph.D. Integrated Student (2020 Spring ~)

B.S. at POSTECH, Korea

  • Industrial and Management Engineering

 

Research Area

  • Operations Research

  • Scheduling

Email: ghlee22@postech.ac.kr

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Insoo Park

M.S.-Ph.D. Integrated Student (2022 Spring ~)

​B.S. at POSTECH, Korea

  • Mathematics

  

Research Area

  • Management Science

  • Scheduling

  • Operations Research

Email: factorpark@postech.ac.kr

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Yeonjun Choi

M.S. Student (2023 Fall ~)

​B.S. at POSTECH, Korea

  • Industrial and Management Engineering

  

Research Area

  • Operations Research

  • Combinatorial Optimization

  • Deep Reinforcement Learning

Email: choichoi@postech.ac.kr

MSO lab story

STAY IN
TOUCH

Tel: +82-54-279-5917
Fax: +82-54-279-2870
Department of Industrial and Management of Engineering
77 Cheongam-ro,
Namgu Pohang Gyeongbuk
37673, Korea
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