Operations Research and Applied Optimization Lab

최적화 연구실

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최적화 연구실

최적화 연구실은 높은 수준의 학술 연구를 통해 실제 산업 및 정부가 추진하는 다양한 과제들을 다루고 실현가능한 가장 좋은 솔루션을 도출하여, 궁극적으로 인류의 삶의 질 향상에 기여하는 데 목표를 두고 있습니다. 이를 위해 다양한 수학적 기법과 컴퓨터 기반의 문제해결법을 개발 및 적용하여 시스템을 설계/분석하며, 최근에는 데이터 사이언스 발전의 도움을 받아 더 복잡하고 정교한 과제들의 최적 솔루션까지도 이론적으로 도출하고 민감도 분석을 통하여 환경에 끼치는 효과를 분석하는데에 연구 범위를 확장하고 있습니다. 주요 연구 분야는 물류, 교통, 에너지 및 공유경제이며, 인류의 삶의 질을 향상시킬 수 있는 더 다양한 분야로 연구를 확장하고 있습니다.
The mission of the Operations Research and Applied Optimization Lab is to conduct high-quality academic research while addressing real industrial and government problems. Research activities are focused on the use and development of advanced computer software to analyze and optimize performance measures of actual systems. The lab's faculty participants have a unique combination of expertise and experiences that allow them to address complex problems in logistics, transportation, and renewable energy systems, stochastic modeling and analysis of manufacturing systems, facility layout and location, and network design and optimization.

Major research field

최적화, 교통, 물류, 공유경제, 에너지, 알고리즘

Desired field of research

인공지능, 기계학습, 강화학습, 디지털 트윈

Research Keywords and Topics

• Optimization problems in the sharing economy, logistics and transportation sectors, and their effects on energy sustainability and environment
• Logistics problems related to energy systems in the areas of facility location and allocation; inventory management; supply chain logistics; graph theory; dynamic programming; multiple criteria optimization; queueing theory; markov decision processes
• Public policies for welfare economics and spatial equity
• Application of operations research to the fundamental research that forms the foundation for smart grid and smart & connected communities
• Data mining and big data analytics to analyze and formulate drivers/riders behavior patterns
• Polynomial-time algorithms to search and optimize vehicle detour options
• Analysis of potential effects of autonomous vehicles in logistics and transportation areas

Research Publications
MORE

• Kweon, S. J.*, Hwang, S. W., and Ventura, J. A. 2017. “A continuous deviation-flow location problem for an alternative-fuel refueling station on a tree-like transportation network.” Journal of Advanced Transportation, 1-20
• Ventura, J. A.*, Kweon, S. J., Hwang, S. W., Tormay, M., and Li, C. 2017. “Energy policy considerations in the design of an alternative-fuel refueling infrastructure to reduce GHG emissions on a transportation network.” Energy Policy, 111, 427-439
• Hwang, S. W., Kweon, S. J., and Ventura, J. A.* 2017. “Locating alternative-fuel refueling stations on a multi-class vehicle transportation network.” European Journal of Operational Research, 261 (3), 941-957

Patents

• Kweon, S.J. (primary inventor), Device and method to predict muscle injury during repetitive working activity of worker. 10-2485242, granted January 2, 2023)
• Kweon, S.J. (primary inventor), Method and device for rehabilitation to prevent injuries due to repeated rotation motion. (10-2413185, granted June 21, 2022)

국가과학기술표준분류

  • NA. 수학
  • NA05. 응용수학
  • NA0503. 수리계획법/최적화이론

국가기술지도분류

  • 기타 분야
  • 060000. 국가기술지도(NTRM) 99개 핵심기술 분류에 속하지 않는 기타 연구

녹색기술분류

  • 고효율화기술
  • 수송효율성 향상
  • 332. 지능형교통, 물류기술

6T분류

  • IT 분야
  • 차세대 네트워크 기반
  • 010214. 기타 네트워크기술