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논문검색

Fuzzy ART 신경망 기반 폐제품의 리싸이클링 셀 형성

원문정보

Fuzzy ART Neural Network-based Approach to Recycling Cell Formation of Disposal Products

서광규

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초록

영어

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.

목차

Abstract
 1. 서론
 2. 리싸이클링 공정의 특성
 3. 그룹핑 방법
  3.1 그룹핑 속성
  3.2 Fuzzy ART 신경망
  3.3 개선된 Fuzzy ART 신경망
 4. 사례 연구
  4.1 리싸이클링 선택
  4.2 리싸이클링 속성들
  4.3 적용 사례
  4.4 적용 사례의 결과
  4.5 실험결과 평가 및 토의
 5. 결론
 6. 참고문헌

저자정보

  • 서광규 Seo Kwang Kyu. 상명대학교 산업정보시스템공학과

참고문헌

자료제공 : 네이버학술정보

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