Byung Do Chung
연세대학교 산업공학과 · 경영학
Byung Do Chung 교수의 연구실은 스마트 공급망, 지능형 제조 시스템 및 지속가능한 생산 체계를 중심으로 연구를 전개하고 있습니다. 특히 클라우드 기반 연결형 스마트 팩토리, 동적 수요 학습과 동적 가격 설정, 녹색 ICT 및 에너지 효율성 향상을 위한 클라우드 서비스 선택 기법 등에 초점을 맞추고 있습니다. 복잡한 공급망 환경에서의 비용 최소화, 리스크 관리, 탄소 배출 감소 및 자원 효율성 향상이 주요 연구 목표입니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
For a complex product production, any flexible manufacturing system with a work-in-process inventory is recommended for a supply chain management (SCM) system. Building a flexible manufacturing system increases the total cost of the supply chain; for this reason, a discrete investment is important. For flexible production systems, production rate within a finite specific interval of production rate as work-in-process inventory is calculated. The aim of the supply chain is to reduce the total cos
Interest in smart factories and smart supply chains has been increasing, and researchers have emphasized the importance and the effects of advanced technologies such as 3D printers, the Internet of Things, and cloud services. This paper considers an innovation in dynamic supply-chain design and operations: connected smart factories that share interchangeable processes through a cloud-based system for personalized production. In the system, customers are able to upload a product design file, an o
Dynamic traffic assignment, Transportation planning, Chance-constrained programming, Joint chance constraint, Data uncertainty,
In this paper, we propose a revenue optimization framework integrating demand learning and dynamic pricing for firms in monopoly or oligopoly markets. We introduce a state-space model for this revenue management problem, which incorporates game-theoretic demand dynamics and nonparametric techniques for estimating the evolution of underlying state variables. Under this framework, stringent model assumptions are removed. We develop a new demand learning algorithm using Markov chain Monte Carlo met
A cloud computing service is the next-generation core service of green ICT for operational management of ICT resources and maximization of energy consumption efficiency. Cloud service is expected to rapidly increase in its market size in the future through its convenience in usage, efficiency of operational management and economic effects and so on. In users’ perspectives, the choice of the appropriative cloud service is very important to meet their business goals and strategies. A cloud service
