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논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2014.1
- 수록면
- 49 - 53 (5page)
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이 논문의 연구 히스토리 (2)
2014
Comparison of Reverse Logistics Networks in Centralized and Decentralized Areas : Genetic Algorithm Approach
YoungSu Yun
한국 SCM 학회지
2014.05
학술저널
Regionally Distributed and Centralized Reverse Logistics Networks : Genetic Algorithm Approach
YoungSu Yun
,
Hye Jin Kim
,
Yoon Yong Hwang
외 1명
한국산업정보학회 학술대회논문집
2014.01
학술대회자료
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초록· 키워드
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In this paper, we compare regionally distributed and centralized reverse logistics networks using genetic algorithm (GA) approach. Reverse logistics (RL) networks usually consist of customers, collection centers, remanufacturing centers, redistribution centers, and secondary markets at each stage. For the regionally distributed reverse logistics (DRL) network, the used products from all customers are sent to regionally distributed integration centers, which performs the functions of collection center, remanufacturing center, and redistribution center simultaneously, and after treating them in each integration center, they are sent to regionally distributed secondary markets. For the centralized reverse logistics (CRL) networks, the used products from all customers are sent to a centralized integration center, after treating them in it, they are sent to a centralized secondary market. The mathematical models for representing the DRL and CRL networks are proposed and they are solved in a GA approach. In numerical examples, various measures of performance are presented to compare the efficiency of the DRL and CRL networks.
목차
Abstract
Ⅰ. INTRODUCTION
Ⅱ. DRL AND CRL NETWORKS
Ⅲ. MATHEMATICAL PORMULATION
Ⅳ. GA APPROACHES
Ⅴ. NUMERICAL EXAMPLES
Ⅵ. CONCLUSION
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