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Multi-objective Remanufacturing Supply Chain Optimization Problem with Dual Stochastic Programming

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJUNESST) 바로가기
  • 간행물
    International Journal of u- and e- Service, Science and Technology 바로가기
  • 통권
    Vol.9 No.9 (2016.09)바로가기
  • 페이지
    pp.319-332
  • 저자
    Liang Yong, Qiao Peili, Luo Zhiyong, Zhu Suxia
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A285065

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원문정보

초록

영어
The successful implementation of remanufacturing supply chain not only needs foundation engineering technology, but also needs the efficient supply chain model to support logistics network. But till now, the optimization problems of supply chain logistics network focus on the determination for the number and location of facilities and logistics distribution between the various facilities. Except for the decisive factors, the optimization problem of remanufacturing supply chain logistics network considers the environmental pollution factors the waste product returns and transportation. The market demand and waste product returns are actually uncertain in remanufacturing supply chain. There is few papers focus on dual uncertain factors although there are lots of studies on the problems. Therefore, based on dual stochastic programming, the optimization model of multi-phase multi-objective remanufacturing supply chain is established with maximum profit in the remanufacturing supply chain, maximum rapid response customer satisfaction and minimum environmental pollution. Dual-layer genetic algorithm mechanism was brought up. The first layer algorithm is responsible for supply chain logistics network structure. The second layer algorithm determines specific distributions for remanufacturing supply chain, based on optimized logistics network structure mechanism in the first layer algorithm. Finally, numerical examples demonstrate the validity of the model and algorithm for the optimization problem.

목차

Abstract
 1. Introduction
 2. Preliminaries
  2.1. Description
  2.2. Notation and Variables
  2.3. Assumptions
 3. Multi-Objective Remanufacturing Supply Chain Optimization Model
  3.1. Mathematical Models
  3.2. Model Solution
  3.3. Dual-Layer Genetic Algorithm
 4. Numerical Examples
 5. Conclusions
 Acknowledgments
 References

키워드

Dual stochastic programming multi-objective remanufacturing supply chain dual-layer genetic algorithm

저자

  • Liang Yong [ School of Computer Science and Technology,Harbin University of Science and Technology, Harbin 150080, China, School of Information Engineering, Eastern Liaoning University, Dandong 118003, China ]
  • Qiao Peili [ School of Computer Science and Technology,Harbin University of Science and Technology, Harbin 150080, China ] Corresponding author
  • Luo Zhiyong [ School of Computer Science and Technology,Harbin University of Science and Technology, Harbin 150080, China ]
  • Zhu Suxia [ School of Computer Science and Technology,Harbin University of Science and Technology, Harbin 150080, China ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJUNESST) [Science & Engineering Research Support Center, Republic of Korea(IJUNESST)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of u- and e- Service, Science and Technology
  • 간기
    격월간
  • pISSN
    2005-4246
  • 수록기간
    2008~2016
  • 십진분류
    KDC 505 DDC 605

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