Pohang University of Science and Technology · 工学
Professor Byung-In Kim's research lab specializes in intelligent scheduling and control systems for automated manufacturing and material handling environments, with a strong focus on industrial applications in semiconductor fabrication and warehouse logistics. The lab develops agent-based and hybrid control architectures that integrate optimization, real-time decision-making, and dynamic resource allocation to enhance system efficiency and utilization. Key research directions include vehicle dispatching, order picking optimization, and plate stacking problems in automated systems, often leveraging advanced algorithms such as the Hungarian algorithm and heuristic methods. The lab emphasizes practical implementation through simulation and real-world system analysis to improve throughput and reduce operational costs.
Figures are computed from collected data and may differ slightly.
In this paper, we consider an actual industrial warehouse order picking problem where goods are stored at multiple locations and the pick location of goods can be selected dynamically in near real time. We solve the problem using an intelligent agent-based model. The modeling framework is between the two extremes of hierarchical and heterarchical frameworks. It recognizes that horizontal as well as vertical decisions are made between various levels of controllers and that these have to be captur
In recent years, the hybrid control framework has received attention from the research community. Variations of this control framework are available in the literature. In this paper, a hybrid intelligent agent-based scheduling and control system architecture is presented for an actual industrial warehouse order-picking problem, where goods are stored at multiple locations and the pick location of goods can be selected dynamically in near-real time. The presented architecture includes a higher le
This paper addresses the order picking sequence problem in an automated warehouse where parts of an order picker's travelling tour are fixed, the length of the layout is significantly longer than the width, and the picker can hold only one item at a given time. The problem is to find an optimal sequence with given vertical paths and so it is a special type of travelling salesman problem. A simple sorting-based heuristic and an efficient clustering-based algorithm are developed for this problem.
This paper proposes an efficient vehicle reassignment dispatching rule and demonstrates the effectiveness of the rule using an overhead hoist transport (OHT) system for a semiconductor fabrication line. The OHT system has more than 150 OHT vehicles and its target vehicle utilization level is 70%. It allows direct delivery such that an inter-bay wafer movement can be accomplished by a single vehicle. Simulation analysis is used to compare the proposed rule with the shortest travel distance first
This article examines a simplified steel plate stacking problem. Manufactured thick steel plates arrive in series at a storage area, which consists of a certain number of uncapacitated beds. The arriving plates are first stacked on beds, after which the plates are removed in the pre-defined delivery sequence. No more than one plate can be moved simultaneously. When a target plate is not in the top position of a bed, the plates that block the target plate must be relocated. This relocation of a p
Open papers in the app to read, cite, and organize with AI.
