연세대학교 경영대학 상남경영원

학력

2001 박사 Carnegie Mellon University
1994 석사 University of Illinois, 수학과
1989 석사 연세대학교, 경영학
1987 학사 연세대학교, 경영학

주요경력

조교수, 연세대학교, 2003-현재

강의관심분야

경영과학
경영수학

연구관심분야

최적화와 제약식프로그래밍을 이용한 하이브리드 방법 제품라인디자인 문제 OR기법을 이용한 의미웹 옵션바운드 문제

주요 연구 논문 및 저서

Kim, H. 2006. Intelligent Shopping Agents Using Finite Domain Constraint under Semantic Web”, Journal of Korea Intelligent Information System Society, 12(4): 73-90.

Kim, H. 2006. An Intelligent Shopping Agent for Optimal Purchasing Decision on the Semantic Web. ISCIS2006, Lecture Notes in Computer Science, Vol. 4263 : 192-201. (SCIE)

Kim, H. 2006. Supply Chain Network Design and Transshipment Hub Location for Third Party Logistics Providers. ICCSA2006, Lecture Notes in Computer Science, Vol. 3982: 928-933. (SCIE)

Kim, H. 2005. The Optimal Nesting Problem. Yonsei Business Review, 42(1): 69-88.

Kim, H. 2005. An Extended Study on the Vertical Product Line Design Problem. Journal of the Korean Production and Operations Management Society, 15(3): 27-59.

Kim, H. 2004. On an Implementation of a Hybrid Solver Based on Warren Abstract Machine and Finite Domain Constraint Programming Solver Structures. Journal of Korea Intelligent Information System Society, 10(2): 165-187.

Kim, H. 2003. On Implementing a Hybrid Solver from Constraint Programming and Optimization. Information Systems Review, 5(2): 203-217.

Kim, H. 2002. Interprovider Differentiated Service Interconnection Management Models in the Internet Bandwidth Commodity Markets. Telematics and Informatics, 9(4): 351-369. (SCI)

Kim, H. 2002. Solving Fixed-Charge Network Flow Problems with a Hybrid Optimization and Constraint Programming Approach. Annals of Operations Research, Vol. 115:1-4: 95-124. (SCI)

Kim, H. 2001. A Scheme for Unifying Optimization and Constraint Satisfaction Methods. The Knowledge Engineering Review, 15(1): 11-30. (SCI)

Kim, H. 1999. A Declarative Modeling Framework that Integrates Solution Methods. Annals of Operations Research, Vol. 104: 141-161. (SCI)

주요 학술활동 및 수상

한국생산관리학회
STX 학술상