• 제목/요약/키워드: Recycling Networks

검색결과 26건 처리시간 0.019초

Fuzzy ART 신경망 기반 폐제품의 리싸이클링 셀 형성 (Fuzzy ART Neural Network-based Approach to Recycling Cell Formation of Disposal Products)

  • 서광규
    • 대한안전경영과학회지
    • /
    • 제6권2호
    • /
    • pp.187-197
    • /
    • 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.

Design of Real-Time Monitoring System for Recycling Agricultural Resourcing Based on USN

  • Ji, Geun-Seok;Min, Byoung-Won;Oh, Yong-Sun;Mishima, Nobuo
    • International Journal of Contents
    • /
    • 제9권4호
    • /
    • pp.22-29
    • /
    • 2013
  • In this paper, we propose a integrated real-time monitoring system for recycling agriculture resourcing based on USN. We design and implement the monitoring system so that we can integrate the quality control of farmyard and liquid manures, barn environment monitoring, and positioning information control into a total management system performing recycling of excrement and manure. Selection of sensors and sensor-node construction and requirements, structure of wire/wireless communication networks, and design of monitoring program are also presented. As a result of operating our system, we can get over various drawbacks of conventional separated system and promote the proper circulation of excrement up to the farmyard. We confirm that these advanced effects arise from the effective management of the total system integrating quality control of farmyard/liquid manure, barn/farmhouse information, and vehicle moving monitoring information etc. Moreover, this monitoring system is able to exchange real-time information throughout communication networks so that we can construct a convenient information environment for agricultural community by converging IT technology with farm and stockbreeding industries. Finally we present some results of processing using our monitoring system. Sensing data and their graphs are processed in real-time, positioning information on the v-world map offers various moving paths of vehicles, and statistical analysis shows all the procedure from excrement occurrence to recycling and resourcing.

Optimal Order Quantity Models for three types of reverse logistics networks in Product Recovery Environment

  • 김주용;김기범;정봉주
    • 한국경영과학회:학술대회논문집
    • /
    • 한국경영과학회 2004년도 추계학술대회 및 정기총회
    • /
    • pp.565-565
    • /
    • 2004
  • Due to limitation of resources and increasing concerns about environment, reverse logistics has received growing attention in recent years. In this paper, we propose three types of reverse logistics networks based on reuse of returnable containers, materials recycling process and remanufacturing for parts reuse. First, the sender in the re-usable item network supplies containers for the recipient and orders either new containers from external supplier or returnable containers cleaned from the container depot. Second, the recycling center in the proposed recycling network collects either end of life products from customer or faulty goods from manufacturer, collected products are dismantled into materials and materials go into recycling process. Finally, the manufacturer in the proposed remanufacturing network has two alternatives for supplying parts: either ordering the required parts to external supplier or overhauling disassembled parts and bringing them back 'as new' conditions. In this product recovery environment, we build optimal order quantity models to minimize the total logistics costs related to reverse logistics network. The validity of the proposed model is investigated through comprehensive computational experiments.

  • PDF

Adaptive Clustering Algorithm for Recycling Cell Formation: An Application of Fuzzy ART Neural Networks

  • Seo, Kwang-Kyu;Park, Ji-Hyung
    • Journal of Mechanical Science and Technology
    • /
    • 제18권12호
    • /
    • pp.2137-2147
    • /
    • 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.

고부가가치 화합물 제조를 위한 가스화 대상 폐기물 선정 및 자원화네트워크 구축 (Selection of Wastes and Establishment of Recycling Networks for the Manufacture of Higher Value Added Product by Gasification)

  • 성호진;구재회;임용택;김나랑;박수남;김수현;추수태
    • 한국신재생에너지학회:학술대회논문집
    • /
    • 한국신재생에너지학회 2010년도 춘계학술대회 초록집
    • /
    • pp.209.1-209.1
    • /
    • 2010
  • 본 연구에서는 울산산업단지 및 인근 지자체에서 발생하는 가연성폐기물 중 화학산업의 원료로 공급하기 위하여 활용가능한 폐기물들을 선정하고, 선정된 폐기물들의 안정적인 수급을 위하여 자원순환네트워크를 구축하는 연구를 수행하였다. 활용가능한 폐기물을 선정하기 위하여 먼저 선정기준을 설정하고, 울산지역에서 발생하는 가연성폐기물의 발생 및 처리현황, 폐기물의 특성 등을 고려하여 활용가능량을 산출하였다. 또한 이들 폐기물을 지속적으로 수급하기 위하여 울산산업단지 기업과 지자체, 합성가스 이용 업체 등으로 구성된 컨소시움을 구축하는 방안을 제안하였다.

  • PDF

New Recycling Business Methods; Eco Brain

  • Mekaru, Hiroshi
    • 대한전자공학회:학술대회논문집
    • /
    • 대한전자공학회 2001년도 The 6th International Symposium of East Asian Resources Recycling Technology
    • /
    • pp.680-684
    • /
    • 2001
  • Since establishment some 25 year ago, AMITA Corporation has continued its attempts in meeting customer needs, in reducing costs for waste treatment. The solutions we have proposed in the past made use of our networks entailing Japan as well as the East Asian region. However, as enterprises have changed their perspective approaching environmental issues recently, as needs diversify, AMITA too has been changing its strategy to incorporate the use of Information Technology to provide consulting services. AMITA has set its goals in promoting modernization of the waste treatment industry, and optimizing the recycling market to reduce environmental impacts.

  • PDF

Modeling of Recycling Oxic and Anoxic Treatment System for Swine Wastewater Using Neural Networks

  • Park, Jung-Hye;Sohn, Jun-Il;Yang, Hyun-Sook;Chung, Young-Ryun;Lee, Minho;Koh, Sung-Cheol
    • Biotechnology and Bioprocess Engineering:BBE
    • /
    • 제5권5호
    • /
    • pp.355-361
    • /
    • 2000
  • A recycling reactor system operated under sequential anoxic and oxic conditions for the treatment of swine wastewater has been developed, in which piggery slurry is fermentatively and aerobically treated and then part of the effluent is recycled to the pigsty. This system significantly removes offensive smells (at both the pigsty and the treatment plant), BOD and others, and may be cost effective for small-scale farms. The most dominant heterotrophic were, in order, Alcaligenes faecalis, Brevundimonas diminuta and Streptococcus sp., while lactic acid bacteria were dominantly observed in the anoxic tank. We propose a novel monitoring system for a recycling piggery slurry treatment system through the use of neural networks. In this study, we tried to model the treatment process for each tank in the system (influent, fermentation, aeration, first sedimentation and fourth sedimentation tanks) based upon the population densities of the heterotrophic and lactic acid bacteria. Principal component analysis(PCA) was first applied to identify a relationship between input and output. The input would be microbial densities and the treatment parameters, such as population densities of heterotrophic and lactic acid bacteria, suspended solids(SS), COD, NH$_4$(sup)+-N, ortho-phosphorus (o-P), and total-phosphorus (T-P). then multi-layer neural networks were employed to model the treatment process for each tank. PCA filtration of the input data as microbial densities was found to facilitate the modeling procedure for the system monitoring even with a relatively lower number of imput. Neural network independently trained for each treatment tank and their subsequent combined data analysis allowed a successful prediction of the treatment system for at least two days.

  • PDF

대구시 아파트지역의 분리수거 및 재활용에 관한 연구 (A Study on Separated Collection and Recycling in Apartment Housing Areas in Taegu Metropolitan City)

  • 우형택;곽형숙
    • 한국환경과학회지
    • /
    • 제4권3호
    • /
    • pp.153-167
    • /
    • 1995
  • Recycling is receiving increasing social attention today as our nation begins to grapple with the significant problems caused by huge amount of municipal solid waste. The topic of recycling is not simple but extremely complicated. This study attempts to provide basic data and policy options for expanding and improving separated collection and recycling in public residential areas, through three case study of apartment housing areas in Taegu Metropolitan City. The main results of this study are summarized as follows. For the significant period of time, all three case areas had in common the extreme difficulty in establishing and operating the system of connecting public participation, collection and storage, transportation, and actual recycling of materials because of a variety of problems involved in this process. Both amounts of and prices for collected materials fluctuated considerably over time mainly due to monthly changes in recyclable home materials and the dynamic nature of recycling markets. Public questionnaire survey revealed the very high level of participation in separated collection, not only because almost all respondents well understood the necessity and importance of recycling, but because they also knew how to do separated collection. But overall activities were rated low and most respondents suggested the enlargement of public participation, the improvement of collection and storage facilities, and collection transportation networks. In particular, most respondents had little experience of using recycled Products and used mainly reproduced soap and bathroom tissue. Furthermore, they were considerably unsatisfied with low variety and quality of recycled products, their high prices and low availability in the market. Finally potential policy options and activities for improving separated collection and recycling are suggested.

  • PDF

한국의 자동차 해체·재활용 제도 개선 연구 (A Study for Improving the Vehicle Dismantling and Recycling System of Korea)

  • 류병운
    • 자동차안전학회지
    • /
    • 제8권4호
    • /
    • pp.24-30
    • /
    • 2016
  • In Korea, the Vehicle Dismantler and Recycler industry is supervised by the Ministry of Land, Infrastructure and Transport under the Automobile Management Act. Also, Korean Automotive recycling businesses are supervised by the Minister of Environment under the Resource Recirculation Act. The main concern of the Minister of Environment is how the wastes from Dismantled vehicles will be environmentally removed, stored, treated, recycled or disposed. In 2000, the European Union (EU) adopted the End-of-Life Vehicles Directive (2000/53/EC) which required Members to ensure the collection, treatment and recovery of end-of-life vehicles (ELVs). The Directive, the most tightly regulated and precautionary legal systems, required that the last owner of a vehicle could drop off the ELV at an authorized treatment facility and that the producers of the ELV should pay the cost of the program. The adoption of the ELVs directive has led the development of Automotive Dismantler and Recycler networks to reuse, refurbish, remanufacture, recycle and recover parts and materials embedded in ELVs. Also, the ELVs directive which has had an insignificant impact on Korean manufacturers has strong presence in the European market and has been successfully externalized on them. The Korean manufacturers not only achieve the 85% recycling target set by the ELVs directive but also meet the Extended Producer Responsibility (EPR) which requires manufacturers to contribute dismantling process. In order to improve the Korean vehicle dismantling and recycling system, the Automobile Management Act and the Resource Recirculation Act should be harmonized. Particularly the roles of the Ministry of Land, Infrastructure and Transport and the Minister of Environment should be sharply divided. Like Japan, the ELV management needs to be highly centralized, regulated, and controlled by the ministry specialized in Vehicle, namely the Ministry of Land, Infrastructure and Transport and the sub organizations. Like EU Members, recovery, reuse, and recycling must be distinguished. Recovery is defined as the final productive use of the parts and materials embedded in ELVs, which includes reuse and remanufacture of parts and recycling of the other materials. Dismantling process and reuse and remanufacture of parts must be governed by the Ministry of Land, Infrastructure and Transport. For environmental recycling or disposal of waste materials, such as CFCs, glass and plastic material, and toxic substances, governmental financial support system should be in place.

신경회로망을 이용한 순환식 돈분처리 시스템의 모니터링 (Monitoring of Recycling Treatment System for Piggery Slurry Using Neural Networks)

  • 손준일;이민호;최정혜;고성철
    • 센서학회지
    • /
    • 제9권2호
    • /
    • pp.127-133
    • /
    • 2000
  • 이 논문에서는 신경회로망을 이용하여 순환식 돈분처리 시스템의 실시간 모니터링을 궁극적으로 구현할 수 있는 새로운 방법을 제안하였다. 즉 미생물 군집내의 개체군밀도에 따른 각 처리조(유입수, 발효조, 폭기조, 1차 침전조 및 4차 침전조)에서의 폐수처리 과정을 모델을 시도하였다. 측정 데이터에 대해 우선 principle component analysis(PCA) 분석을 적용하여 각 처리조에서의 입력(미생물 밀도와 처리요소)과 출력간의 상관관계를 파악하고, 각각의 처리조마다 독립된 신경회로망을 적용하여 폐수처리 과정을 모델링하였다. 신경회로망의 입력으로 현재 탱크에서의 미생물의 개체군밀도를 직접 이용하는 대신 PCA 분석 결과를 이용함으로써, 비교적 적은 수의 데이터로 효과적인 모니터링 시스템을 구현할 수 있었다. 즉 각 처리조별로 학습된 신경회로망들을 연결하여 분석한 결과 2일 동안의 폐수 처리 변화를 비교적 정확히 예측할 수 있었다.

  • PDF