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Dongmin Son
Department of Industrial Engineering, Yonsei University, 50 Yonsei-ro Seodaemun-gu, Seoul 03722, Republic of Korea

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Journal article
Published: 05 October 2020 in Additive Manufacturing
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In recent years, additive manufacturing (AM) has gained considerable interest because of its capacity to facilitate the fabrication of products of various shapes better than conventional manufacturing (CM). Moreover, it can respond to the growing demand for customized products and can reduce the impact on the environment by minimizing production waste. To maximize these benefits and overcome entry barriers, researchers have conducted part consolidation (PC) research to improve sustainability by reducing the number of components, or hybrid supply chain studies involving local AM service providers. This study aims to present a new supply chain that combines the advantages of both AM and CM systems to create and analyze the potential of an AM machine that can be made available for rent at a lower cost. In this study, a closed-loop supply chain with an AM hub (CLSCAM) is first designed. Thereafter, to support manufacturers in making the decision to adopt AM, two models are developed: sustainability (cost, environment, and time) evaluation model from the lifecycle perspective of CLSCAM, and a PC method is developed to maximize the three sustainability indices. Since the PC problem with complex product structure is an NP-hard problem, the genetic algorithm is employed as a solution method. Furthermore, an experimental analysis is conducted to validate the proposed model through a real-world application (testbed product). The results reveal that the AM hub and PC model can effectively improve the sustainability of the entire lifecycle. In particular, the results of improved sustainability per unit product in mass production scenarios demonstrate the practical applicability of the proposed model. These results also demonstrate that the pre-manufacturing stage has the greatest impact on the cost sustainability index in the CLSCAM. It is further confirmed that the sustainability improvement effect of PC increases with increasing AM raw material consumption efficiency, volume reduction rate of PC.

ACS Style

Dongmin Son; Songi Kim; Bongju Jeong. Sustainable part consolidation model for customized products in closed-loop supply chain with additive manufacturing hub. Additive Manufacturing 2020, 37, 101643 .

AMA Style

Dongmin Son, Songi Kim, Bongju Jeong. Sustainable part consolidation model for customized products in closed-loop supply chain with additive manufacturing hub. Additive Manufacturing. 2020; 37 ():101643.

Chicago/Turabian Style

Dongmin Son; Songi Kim; Bongju Jeong. 2020. "Sustainable part consolidation model for customized products in closed-loop supply chain with additive manufacturing hub." Additive Manufacturing 37, no. : 101643.

Journal article
Published: 06 September 2020 in Expert Systems with Applications
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With the development of information and telecommunication technology and the wide adoption of smartphones, consumers gradually change their purchase pattern toward online shopping. They can order products from their smartphones at any moment from any place, and the volume and variety of products delivered to consumers are increasing explosively. Companies in this industry need to set up the operational strategies to accommodate the increasing demand for delivery and return of products, and their focus should be the real-world vehicle routing problems with an additional consideration of the dynamic orders placed over time. This study proposes a waiting strategy for the vehicle routing problem with simultaneous pickup and delivery. This strategy implements an index called the rerouting indicator, which functions as a decision-making threshold to determine the rerouting point for real-time demands. For the most real-world-cases with complex problems, this study proposes a genetic algorithm to solve and validate its accuracy and performance by comparing the computational results. The significance and application of the waiting strategy are validated through several experiments, and the appropriate discretion by a decision maker can demonstrate the value of the proposed strategy.

ACS Style

Hyungbin Park; Dongmin Son; Bonwoo Koo; Bongju Jeong. Waiting strategy for the vehicle routing problem with simultaneous pickup and delivery using genetic algorithm. Expert Systems with Applications 2020, 165, 113959 .

AMA Style

Hyungbin Park, Dongmin Son, Bonwoo Koo, Bongju Jeong. Waiting strategy for the vehicle routing problem with simultaneous pickup and delivery using genetic algorithm. Expert Systems with Applications. 2020; 165 ():113959.

Chicago/Turabian Style

Hyungbin Park; Dongmin Son; Bonwoo Koo; Bongju Jeong. 2020. "Waiting strategy for the vehicle routing problem with simultaneous pickup and delivery using genetic algorithm." Expert Systems with Applications 165, no. : 113959.

Journal article
Published: 01 May 2019 in Energies
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Globally, many countries are experiencing economic growth while concurrently increasing their energy consumption. Several have begun to consider a low-carbon energy mix to mitigate the environmental impacts caused by increased fossil fuel consumption. In terms of maximizing profits, however, power producers are not sufficiently motivated to expand capacity due to high costs. Thus, the Korean government initiated the Renewable Portfolio Standard (RPS), an obligation to generate a certain proportion of a producer’s total generation using renewable energy for power producers with capacities of 500 MW or more, and the Emissions Trading Scheme (ETS), designed to attain a carbon emissions reduction goal. We propose a mathematical model to derive the optimal operational strategy for maximizing power producer profits with a capacity expansion plan that meets both regulations. As such, the main purpose of this study was to obtain the optimal operational strategy for each obligatory power producer. To that end, we defined a 2 × 2 matrix to classify their types and to conduct scenario-based analyses to assess the impact of major factor changes on solutions for each type of power producer. Finally, for the power generation industry to operate in a sustainable and eco-friendly manner, we extracted policy implications that the Korean government could consider for each type of power producer.

ACS Style

Dongmin Son; Joonrak Kim; Bongju Jeong. Optimal Operational Strategy for Power Producers in Korea Considering Renewable Portfolio Standards and Emissions Trading Schemes. Energies 2019, 12, 1667 .

AMA Style

Dongmin Son, Joonrak Kim, Bongju Jeong. Optimal Operational Strategy for Power Producers in Korea Considering Renewable Portfolio Standards and Emissions Trading Schemes. Energies. 2019; 12 (9):1667.

Chicago/Turabian Style

Dongmin Son; Joonrak Kim; Bongju Jeong. 2019. "Optimal Operational Strategy for Power Producers in Korea Considering Renewable Portfolio Standards and Emissions Trading Schemes." Energies 12, no. 9: 1667.

Journal article
Published: 03 April 2018 in Sustainability
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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 stockpile system and Extended Producer Responsibility (EPR). Therefore, it is necessary for the manufacturers with RMs to establish a suitable supply chain plan that reflects this situation. In this study, the RM classification matrix is created based on the stockpile and recycling level in Korea. Accordingly, three different types of supply chain are designed in order to develop the closed-loop supply chain (CLSC) planning model of RM, and the CLSC planning models of RM are validated through experimental analysis. The results show that the stockpiling and the EPR recycling obligation increase the amount of recycled flow and reduce the total cost of the part manufacturing, which means that these two factors are significant for obtaining sustainability of the RMs’ CLSC. In addition, the government needs to set an appropriate sharing cost for promoting the manufacturer’s recycling. Also, from the manufacturer’s perspective, it is better to increase the return rate by making a contract with the collectors to guarantee the collection of used products.

ACS Style

Dongmin Son; Songi Kim; Hyungbin Park; Bongju Jeong. Closed-Loop Supply Chain Planning Model of Rare Metals. Sustainability 2018, 10, 1061 .

AMA Style

Dongmin Son, Songi Kim, Hyungbin Park, Bongju Jeong. Closed-Loop Supply Chain Planning Model of Rare Metals. Sustainability. 2018; 10 (4):1061.

Chicago/Turabian Style

Dongmin Son; Songi Kim; Hyungbin Park; Bongju Jeong. 2018. "Closed-Loop Supply Chain Planning Model of Rare Metals." Sustainability 10, no. 4: 1061.