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Jihyun Kim

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Retraction
Published: 06 May 2020 in Sustainability
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The Sustainability Editorial Office has been made aware that the published paper

ACS Style

Sungwook Yoon; Jihyun Kim; Sukjae Jeong. Retraction: Yoon, S. et al. The Optimal Decision Combination in Semiconductor Manufacturing. Sustainability 2017, 9, 1788. Sustainability 2020, 12, 3764 .

AMA Style

Sungwook Yoon, Jihyun Kim, Sukjae Jeong. Retraction: Yoon, S. et al. The Optimal Decision Combination in Semiconductor Manufacturing. Sustainability 2017, 9, 1788. Sustainability. 2020; 12 (9):3764.

Chicago/Turabian Style

Sungwook Yoon; Jihyun Kim; Sukjae Jeong. 2020. "Retraction: Yoon, S. et al. The Optimal Decision Combination in Semiconductor Manufacturing. Sustainability 2017, 9, 1788." Sustainability 12, no. 9: 3764.

Journal article
Published: 02 October 2017 in Sustainability
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Wafer fabrication is a capital-intensive and highly complex manufacturing process. In a wafer fabrication facility (fab), wafers are grouped as a lot to go through repeated sequences of operations to build circuitry. Lot scheduling is an important task for manufacturers in order to improve production efficiency and satisfy customers’ demands of on-time delivery. Cycle time and average work-in-process reduction while meeting customers’ requirements play an important role in improving the competitiveness and sustainability of a semiconductor manufacturer. In this research, we propose the optimal combination rules for lot scheduling problems in wafer fabs, focusing on three complex areas of decision making: lot release control, batch sizing, and dispatching lots to enhance competitiveness and sustainability of a semiconductor facility.

ACS Style

Sungwook Yoon; Jihyun Kim; Sukjae Jeong. The Optimal Decision Combination in Semiconductor Manufacturing. Sustainability 2017, 9, 1788 .

AMA Style

Sungwook Yoon, Jihyun Kim, Sukjae Jeong. The Optimal Decision Combination in Semiconductor Manufacturing. Sustainability. 2017; 9 (10):1788.

Chicago/Turabian Style

Sungwook Yoon; Jihyun Kim; Sukjae Jeong. 2017. "The Optimal Decision Combination in Semiconductor Manufacturing." Sustainability 9, no. 10: 1788.

Article
Published: 15 September 2017 in Sustainability
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As the generation of industrial wastes increases, waste treatment is steadily becoming a serious economic and environmental issue. Existing waste has mainly been treated by landfilling after incineration. A shortage of landfill sites necessitates waste management alternatives other than traditional incineration and landfill. This paper focuses on a cost-benefit analysis that evaluates the economic and environmental performances of five treatment strategies for flammable industrial wastes: incineration, refuse plastic fuel (RPF) boiler, RPF cement furnace, cement furnace after shredding of wastes, and paper incineration after shredding of wastes. For such purposes, our model considered the entire process of each waste treatment, which involves collection, transportation, treatment, recovery, and the disposal of flammable industrial wastes that pose risks to their surroundings. Case studies of each treatment processes are reviewed, and a cost-benefit analysis is performed to evaluate and identify the selection of treatment and disposal facilities, along with an allocation of flammable industrial wastes and waste residues from generators to treatment and disposal facilities and transportation routes, in order to achieve the minimum economic and environmental costs.

ACS Style

Jihyun Kim; Sukjae Jeong. Economic and Environmental Cost Analysis of Incineration and Recovery Alternatives for Flammable Industrial Waste: The Case of South Korea. Sustainability 2017, 9, 1638 .

AMA Style

Jihyun Kim, Sukjae Jeong. Economic and Environmental Cost Analysis of Incineration and Recovery Alternatives for Flammable Industrial Waste: The Case of South Korea. Sustainability. 2017; 9 (9):1638.

Chicago/Turabian Style

Jihyun Kim; Sukjae Jeong. 2017. "Economic and Environmental Cost Analysis of Incineration and Recovery Alternatives for Flammable Industrial Waste: The Case of South Korea." Sustainability 9, no. 9: 1638.

Journal article
Published: 10 November 2016 in Sustainability
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Despite the growing importance of identifying new business items for small and medium enterprises (SMEs), most previous studies focus on conglomerates. The paucity of empirical studies has also led to limited real-life applications. Hence, this study proposes a systematic approach to find new business items (NBIs) that help the prospective SMEs develop, evaluate, and select viable business items to survive the competitive environment. The proposed approach comprises two stages: (1) the classification of diversification of SMEs; and (2) the searching and screening of business items. In the first stage, SMEs are allocated to five groups, based on their internal technological competency and external market conditions. In the second stage, based on the types of SMEs identified in the first stage, a set of alternative business items is derived by combining the results of portfolio analysis and benchmarking analysis. After deriving new business items, a market and technology-driven matrix analysis is utilized to screen suitable business items, and the Bruce Merrifield-Ohe (BMO) method is used to categorize and identify prospective items based on market attractiveness and internal capability. To illustrate the applicability of the proposed approach, a case study is presented.

ACS Style

Sukjae Jeong; Jaehyun Han; Jihyun Kim. A Systematic Approach to Identify Promising New Items for Small to Medium Enterprises: A Case Study. Sustainability 2016, 8, 1158 .

AMA Style

Sukjae Jeong, Jaehyun Han, Jihyun Kim. A Systematic Approach to Identify Promising New Items for Small to Medium Enterprises: A Case Study. Sustainability. 2016; 8 (11):1158.

Chicago/Turabian Style

Sukjae Jeong; Jaehyun Han; Jihyun Kim. 2016. "A Systematic Approach to Identify Promising New Items for Small to Medium Enterprises: A Case Study." Sustainability 8, no. 11: 1158.