• 대한안전경영과학회지
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• 제6권2호
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• pp.187-197
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• 2004

The recycling cell formation problem means that disposal products are classified into recycling product families using group technology in their end-of-life phase. Disposal products have the uncertainties of product condition usage influences. Recycling cells are formed considering design, process and usage attributes. In this paper, a new approach for the design of cellular recycling system is proposed, which deals with the recycling cell formation and assignment of identical products concurrently. Fuzzy ART neural networks are applied to describe the condition of disposal product with the membership functions and to make recycling cell formation. The approach leads to cluster materials, components, and subassemblies for reuse or recycling and can evaluate the value at each cell of disposal products. Disposal refrigerators are shown as an example.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2000년도 추계학술대회 논문집
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• pp.969-971
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• 2000

In this paper, shortening of product life cycle and wide disposal of consumer product have given rise to many environmental problems, it needs to propose module design principle for saving of disassembly cost and reusing of used part and subassembly. To analyze characteristics of module for recycling, materials and function of part and subassembly must be classified. In disassembly process, a unit operation can be grasped for disassembly function, worker, tool and sorting process. As a result of applying module design principle, simpler structure and reduced structural interference can be realized for product structure. For disassembly, simpler disassembly and quicker disassembly can be obtained for recycling.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2000년도 춘계학술대회
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• pp.111-123
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• 2000

The recycling cell formation problem means that disposal products are classified into recycling part families using group technology in their end of life phase. Disposal products have the uncertainties of product status by usage influences. Recycling cells are formed considering design, process and usage attributes. In this paper, a novel approach to the design of cellular recycling system is proposed, which deals with the recycling cell formation and assignment of identical products concurrently. Fuzzy clustering algorithm and Fuzzy-ART neural network are applied to describe the states of disposal product with the membership functions and to make recycling cell formation. This approach leads to recycling and reuse of the materials, components, and subassemblies and can evaluate the value at each cell of disposal products. Application examples are illustrated by disposal refrigerators, compared fuzzy clustering with Fuzzy-ART neural network performance in cell formation.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2007년도 추계학술대회 논문집
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• pp.19-21
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• 2007

In recent, a great number of electric motor units (EMUs) have been disused in Korea according as its legal duration is 25 years. Generally, the disused EMUs are disposed by selling original form or scrapping for junk. Until now, any efficient disposal system for disused EMUs has not existed. The purpose of this study was to develop the recycling process for the FRP used as an interior panel of EMU. This process was to manufacture a product mixing binders, fillers and the powdered FRP. The characteristics of a product were changed with the mixing ratio of the powdered FRP. The optimal ratio of the powdered FRP was from 10 % to 15 % (w/w). In the future, the application of this process can enhance the efficiency of resource recycling and decrease the cost of waste treatment in the EMU industry.

• Journal of Mechanical Science and Technology
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• 제18권12호
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• pp.2137-2147
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• 2004

The recycling cell formation problem means that disposal products are classified into recycling part families using group technology in their end-of-life phase. Disposal products have the uncertainties of product status by usage influences during product use phase, and recycling cells are formed design, process and usage attributes. In order to deal with the uncertainties, fuzzy set theory and fuzzy logic-based neural network model are applied to recycling cell formation problem for disposal products. Fuzzy C-mean algorithm and a heuristic approach based on fuzzy ART neural network is suggested. Especially, the modified Fuzzy ART neural network is shown that it has a good clustering results and gives an extension for systematically generating alternative solutions in the recycling cell formation problem. Disposal refrigerators are shown as examples.

• 복식문화연구
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• 제29권3호
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• pp.437-452
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• 2021

The objectives of this study were: (1) to identify differences in consumer attitudes and intentions to recycle fashion products using three types of recycling (including resale, reform, and donation), and (2) to examine the moderating effects of consumer prosocialness on the relationships between attitude and intention for each type of fashion product recycling. Men and women aged 20 years and over were recruited from a marketing research firm panel. Participants completed an online questionnaire incorporating measures for attitudes and intentions to resale, reform, and donate fashion products, prosocialness, frequency of purchasing fashion products, monthly amount of spending on fashion products, and demographic information. Data from 224 participants were analyzed using SPSS 25.0 and PROCESS macro. The results demonstrated that consumers had significantly different attitudes and intentions depending on type of fashion product recycling. Consumers had more positive attitudes toward donation compared to resale and reform types of recycling. Consumer intentions toward resale and donation were significantly higher than their intention to reform. Furthermore, this study confirmed that the attitude-intention gap in fashion product recycling can be explained by individual prosocialness. The moderating effects of prosocialness on the associations between attitude and intention to recycle were significant. The implications of increasing consumers' behavior intention to recycle fashion products was discussed and future research suggestions are provided.

• 한국환경보건학회지
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• 제37권2호
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• pp.150-158
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• 2011

This research was conducted to estimate the physicochemical characteristics of waste catalyst and its in-process product from recycling and to suggest fundamental data for religious systems such as quality standards. Mo and V contents were increased from the waste catalyst to calcinated material and oxidized material. In the results of a heavy metals leaching test, Pb was not detected in any catalyst, calcinated and oxidized materials. Cu was not detected in the catalyst. However, it was detected in ${\leq}$1.16 mg/l for calcinated material and in 1.34~13.73 mg/l for $MoO_3$ oxidezed material. Concentrations in recycling in-process products (calcinated and oxidized materials) were higher than those of waste catalyst. Oil content of catalyst waste ranged from 0.01-14.03 wt%. Oil contents of calcinated and oxidized materials were greatly decreased compared to the catalyst waste. Carbon and sulfur contents as chemical poisoning material of catalyst waste ranged from 0.33-76.08 wt% and 5.00-22.00 wt%, respectively. The carbon contents of calcinated and oxidized materials showed below 20 wt%. The sulfur content showed below 8wt% for calcinated material and below 0.22 wt% for oxidized material.

• 자원리싸이클링
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• 제32권1호
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• pp.13-20
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• 2023

이 글은 현재 국내 리튬이온전지 상용 재활용 공정을 정리하고, 리튬이온전지 재활용 공정의 새로운 방향을 제시한다. 대표적인 리튬이온전지 재활용 업체인 (주)성일하이텍은 10년 이상 리튬이온전지 재활용 공정을 성공적으로 운영해 왔으며 최근 많은 재활용 업체 및 배터리 제조업체들이 새로운 재활용 공정을 제안하고 개발하고 있다. 새로운 재활용 공정에서는 리튬 가격의 급격한 상승으로 니켈과 코발트보다 먼저 리튬이 회수되고, 금속 황산염 용액을 최종 제품으로 배터리 제조업체에 공급하는 특징이 있다. 향후 대량으로 발생할 폐전지 처리를 위해 기존 공정이 개선될 필요가 있으며, 폐기된 자동차와 함께 유입되는 성분들과 리튬이온전지의 새로운 첨가제는 향후 리튬이온전지 재활용 공정에서 주요 공정효율 저감 요인이 될 수 있다.

• 한국자동차공학회논문집
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• 제13권6호
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• pp.105-112
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• 2005

This study aims at evaluating the environmental impacts stemmed from the End-of-Life Vehicle(ELV) treatment systems in Korea, using Life Cycle Assessment(LCA) method. In this study, both environmental burden from the ELV dismantling process & recycling processes and environmental benefit which were derived from the avoided environmental impacts by substituting recycled materials for virgin materials were considered. First of all, the key issues which were defined as the environmental aspects that account for more than $1\%$ out of the total environmental impacts were identified from the Life Cycle Impact Assessment(LCIA). $CO_2$, crude oil, natural gas, coal, etc. were found out to be the key issue parameters. From the LCI Analysis and LCIA studies, it was shown that the significant environmental aspects were related with the recycling process of ferro scrap, the shredding process of compressed car bodies and the dismantling process of end-of-life engines. In particular, the recycling process of ferro scrap has the most significant effects on the environmental impacts of the ELV treatment systems. Based on these results, it is recommended to improve the recycling process of ferro scrap in order to make the ELV treatment systems more environmentally sound.

• 한국데이타베이스학회:학술대회논문집
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• 한국데이타베이스학회 1999년도 춘계공동학술대회: 지식경영과 지식공학
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• pp.253-260
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• 1999

The recycling cell formation problem means that disposal products me classified into recycling part families using group technology in their end of life phase. Disposal products have the uncertainties of product status by usage influences during product use phase and recycling cells are formed design, process and usage attributes. In order to treat the uncertainties, fuzzy set theory and fuzzy logic-based neural network model are applied to recycling cell formation problem far disposal products. In this paper, a heuristic approach fuzzy ART neural network is suggested. The modified fuzzy ART neural network is shown that it has a great efficiency and give an extension for systematically generating alternative solutions in the recycling cell formation problem. We present the results of this approach applied to disposal refrigerators and the comparison of performances between other algorithms. This paper introduced a procedure which integrates economic and environmental factors into the disassembly of disposal products for recycling in recycling cells. A qualitative method of disassembly analysis is developed and its ai is to improve the efficiency of the disassembly and to generated an optimal disassembly which maximize profits and minimize environmental impact. Three criteria established to reduce the search space and facilitate recycling opportunities.