본문 시작
-
홍정의 교수
- 직책 교수
- 전공분야 생산공학(생산시스템최적화)
- 연구실 공과대학 시스템관 615호
-
연락처
Tel :
043-841-5309
E-mail jehong@ut.ac.kr
한양대학교 정밀 기계공학과 공학사 (1988)
Oklahoma State University 기계공학과 공학 석사 (1992)
University of Missouri-Rolla 산업공학과 공학 박사 (1995)
▶ 경력
- 교학부총장 겸 교무처장 (2024. 4.~)
- 입학관리본부장 겸 홍보실장(2014. 2~2016. 1 )
- Post Doctoral Fellow, McGill University, Montreal, Canada, 2011
- 공학교육혁신센터장(2006.3~2007.7)
- Post-Doctoral Fellow & Visiting Scholar (University of Missouri-Rolla Design Engineering Center, 2004~2005)
- 터보테크, 테크빌 닷컴 자문위원
- 만도 기계 생산기술 연구원
- 교육부 2,3주기 대학진단평가 평가위원
- 품질분임조 심사위원
- 품질경쟁력 우수기업 심사위원
- 대한 설비관리 학회 운영이사
- 한국 산업경영시스템 학회 운영이사
▶ 주요 연구 분야
- 생산 및 설계 최적화
▶주요연구논문
- A study on the Usability Evaluation of Factors of Online Game Using AHP Journal of Product Research 2021
- A Study on the Priority Analysis of Evaluation element for Evaluating Internet Shopping Mall Using AHP, Journal
of Product Research 2018
- Optimization for Small Quantity Batch Production by Cell Production Method Jounal of The Korean Institute of
Plant Engineering 2018
- Diagnosis of Disease Using Support Vector Machine Jounal of The Korean Institute of Plant Engineering 2014
- Improvement of Process Performance for Coating Using Inkjet Printing Jounal of The Korean Institute of Plant
Engineering 2013
- Selecting Optimum Scrap Mixing Ratio in Steel making With an Electric Arc Furnace, Jounal of The Korean Institute
of Plant Engineering 2012
- Diagnosis of Spondylopathy Using Mahalanobis Taguchi System Journal of Society of Korea Industrial and System
Engineering 2012
- Modeling of Strength of High Performance Concrete with Multiple Linear Regression Analysis and Mahalanobis
Distance Outlier Detection Method, Jounal of The Korean Institute of Plant Engineering, 2011
- A Comparison Study of Mahalanobis Taguchi System and Neural Network for Multivariate Pattern Recognition,
Proceeding of ASME IMECE, 2005
- Selecting the Optimum Process Condition Between the Factor Level Using Neural Network, Journal of the Korean
Society of Quality Management 2002
- Selecting the Optimum Condition of Injection Molding Process by the Taguchi Method and Neural Network,
Journal of the Society of Korea Industrial and System Engineering, 2002
- Artificial Neural Networks and The Taguchi Method Application for Ultrasonic Welding Process, Artificial Neural
Networks In Engineering, 1996