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      KCI등재후보 SCOPUS

      Hybrid Priority-based Genetic Algorithm for Multi-stage Reverse Logistics Network

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      https://www.riss.kr/link?id=A99951025

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      다국어 초록 (Multilingual Abstract)

      We formulate a mathematical model of remanufacturing system as multi-stage reverse Logistics Network Problem (mrLNP) with minimizing the total costs for reverse logistics shipping cost and inventory holding cost at disassembly centers and processing centers over finite planning horizons. For solving this problem, in the 1st and the 2nd stages, we propose a Genetic Algorithm (GA) with priority-based encoding method combined with a new crossover operator called as Weight Mapping Crossover (WMX). A heuristic approach is applied in the 3rd stage where parts are transported from some processing centers to one manufacturer. Computer simulations show the effectiveness and efficiency of our approach. In numerical experiments, the results of the proposed method are better than pnGA (Prufer number-based GA).
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      We formulate a mathematical model of remanufacturing system as multi-stage reverse Logistics Network Problem (mrLNP) with minimizing the total costs for reverse logistics shipping cost and inventory holding cost at disassembly centers and processing c...

      We formulate a mathematical model of remanufacturing system as multi-stage reverse Logistics Network Problem (mrLNP) with minimizing the total costs for reverse logistics shipping cost and inventory holding cost at disassembly centers and processing centers over finite planning horizons. For solving this problem, in the 1st and the 2nd stages, we propose a Genetic Algorithm (GA) with priority-based encoding method combined with a new crossover operator called as Weight Mapping Crossover (WMX). A heuristic approach is applied in the 3rd stage where parts are transported from some processing centers to one manufacturer. Computer simulations show the effectiveness and efficiency of our approach. In numerical experiments, the results of the proposed method are better than pnGA (Prufer number-based GA).

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      목차 (Table of Contents)

      • Abstract
      • 1. INTRODUCTION
      • 2. MATHEMATICAL FORMULATION
      • 3. HYBRID GENETIC ALGORITHM
      • 4. NUMERICAL EXPERIMENT
      • Abstract
      • 1. INTRODUCTION
      • 2. MATHEMATICAL FORMULATION
      • 3. HYBRID GENETIC ALGORITHM
      • 4. NUMERICAL EXPERIMENT
      • 5. CONCLUSIONS
      • ACKMOWLEDGMENTS
      • REFERENCES
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      참고문헌 (Reference)

      1 Kim, K. B., "Supply planning model for remanufacturing system in reverse logistics environment" 51 (51): 279-287, 2006

      2 Stock, J. K., "Reverse logistics, White Paper, Council of Logistics Management" Oak Brook 1992

      3 Lieckens, K., "Reverse logistics network design with stochastic lead times" 34 (34): 395-416, 2007

      4 Kroon, L., "Returnable containers: an example of reverse logistics" 25 (25): 56-68, 1995

      5 "REVLOG(2004)"

      6 Shimamoto, N., "Proc. IEEE. Int. Conf. Neural Networks" 1123-1128, 1993

      7 Chung, S. L., "Optimal policy for a closed-loop supply chain inventory system with remanufacturing" 2007

      8 Gen, M., "Genetic Algorithm and Engineering Optimization" Wiley 2000

      9 Spengler, T., "Environmental integrated production and recycling management" 97 (97): 308-326, 1997

      10 Syarilf, A., "Double Spanning Treebased Genetic algorithm For Two Stage Transportation Problem" 7 (7): 388-389, 2003

      1 Kim, K. B., "Supply planning model for remanufacturing system in reverse logistics environment" 51 (51): 279-287, 2006

      2 Stock, J. K., "Reverse logistics, White Paper, Council of Logistics Management" Oak Brook 1992

      3 Lieckens, K., "Reverse logistics network design with stochastic lead times" 34 (34): 395-416, 2007

      4 Kroon, L., "Returnable containers: an example of reverse logistics" 25 (25): 56-68, 1995

      5 "REVLOG(2004)"

      6 Shimamoto, N., "Proc. IEEE. Int. Conf. Neural Networks" 1123-1128, 1993

      7 Chung, S. L., "Optimal policy for a closed-loop supply chain inventory system with remanufacturing" 2007

      8 Gen, M., "Genetic Algorithm and Engineering Optimization" Wiley 2000

      9 Spengler, T., "Environmental integrated production and recycling management" 97 (97): 308-326, 1997

      10 Syarilf, A., "Double Spanning Treebased Genetic algorithm For Two Stage Transportation Problem" 7 (7): 388-389, 2003

      11 Biehl, M., "Assessing performance and uncertainty in developing carpet reverse logistics systems" 34 (34): 443-463, 2007

      12 Lee, J. E., "A multistage reverse logistics network problem by using hybrid priority-based genetic algorithm" 128 (128): 460-465, 2008

      13 Pati, R. K., "A goal programming model for paper recycling system" 36 (36): 405-417, 2008

      14 Ko, H. J., "A genetic algorithm-based heuristic for the dynamic integrated forward/reverse logistics network for 3PLs" 34 (34): 346-366, 2007

      15 Gen, M., "A genetic algorithm for two-stage transportation problem using priority-based encoding,OR" 28 (28): 337-354, 2006

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2015-08-03 학술지명변경 한글명 : Industrial Engineeering & Management Systems -> Industrial Engineering & Management Systems
      외국어명 : Industrial Engineeering & Management Systems An International Journal -> Industrial Engineering & Management Systems An International Journal
      KCI등재
      2013-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2010-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2009-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2007-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.13 0.13 0.1
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.1 0.09 0.316 0.05
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