Yonsei University · 工学
Professor Bongju Jeong's research lab specializes in sustainable manufacturing and resource recovery, focusing on the development of advanced recycling and remanufacturing systems for high-tech materials and end-of-life products. The lab addresses critical challenges in rare metal supply chains, photovoltaic system recycling, and electric vehicle logistics under uncertainty, integrating optimization, evolutionary algorithms, and sustainable supply chain planning. Research emphasizes environmental protection, resource efficiency, and technological resilience in the context of the Fourth Industrial Revolution and climate change mitigation. The lab also explores innovative disassembly planning and robust routing models to enhance circular economy practices in high-tech and transportation industries.
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The photovoltaic (PV) generation system has been widely used since the late 1990s. Considering its lifespan of 20 to 30 years, many end-of-life systems will emerge in the near future. This is why recycling PV systems will be beneficial (and may even be detrimental) to both the environment and the economy. Through the recycling process, hazardous by-product substances such as cadmium and lead can be treated properly. Moreover, valuable materials including indium, gallium, and tellurium can be ext
Traveling sales man problem with precedence constraints is one of the most notorious problems in terms of the efficiency of its solution approach, even though it has very wide range of industrial applications. We propose a new evolutionary algorithm to efficiently obtain good solutions by improving the search process. Our genetic operators guarantee the feasibility of solutions over the generations of population, which significantly improves the computational efficiency even when it is combined
This study aims to improve the efficiency of disassembly planning in remanufacturing environment. Even though disassembly processes are considered as the reverse of the corresponding assembly processes, under some technological and management constraints the feasible and efficient disassembly planning can be achieved by only well-designed algorithms. In this paper, we propose a heuristic for disassembly planning with the existence of disassembled part/subassembly demands. A mathematical model is
Rare metals (RMs) are becoming increasingly important in high-tech industries associated with the Fourth Industrial Revolution, such as the electric vehicle (EV) and 3D printer industries. As the growth of these industries accelerates in the near future, manufacturers will also face greater RM supply risks. For this reason, many countries are putting considerable effort into securing the RM supply. For example, countries including Japan, Korea, and the USA have adopted two major policies: the st
As the greenhouse gas emission regulations have strengthened, establishing a sustainable transportation system has become more essential. Thus, studies on the transportation system using electric vehicles have received more research attention. However, operation using electric vehicles has obstacles such as technical limitations of vehicle batteries and insufficient number of charging stations, which can be much affected by the traffic flow changes. Therefore, we propose a robust electric vehicl
Abstract With the rapid progress of technology in a wide variety of industries, such as aerospace, IT, civil engineering/construction, energy, etc., the metals used in these fields have recently seen increasingly stringent requirements being imposed on their strength, toughness, corrosion resistance, durability, etc. A capability for resource- and energy-saving as well as good recyclability are also being increasingly sought to counter a number of progressively more serious problems facing the g
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