• Title/Summary/Keyword: 재사용 로지스틱스 모델

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Reusable Network Model using a Modified Hybrid Genetic Algorithm in an Optimal Inventory Management Environment (최적 재고관리환경에서 개량형 하이브리드 유전알고리즘을 이용한 재사용 네트워크 모델)

  • Lee, JeongEun
    • Journal of Korea Society of Industrial Information Systems
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    • v.24 no.5
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    • pp.53-64
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    • 2019
  • The term 're-use' here signifies the re-use of end-of-life products without changing their form after they have been thoroughly inspected and cleaned. In the re-use network model, the distributor determines the product order quantity on the network through which new products are received from the suppliers or products are supplied to the customers through re-use of the recovered products. In this paper, we propose a reusable network model for reusable products that considers the total logistics cost from the forward logistics to the reverse logistics. We also propose a reusable network model that considers the processing and disposal costs for reuse in an optimal inventory management environment. The authors employe Genetic Algorithm (GA), which is one of the optimization techniques, to verify the validity of the proposed model. And in order to investigate the effect of the parameters on the solution, the priority-based GA (priGA) under three different parameters and the modified Hybrid GA (mhGA), in which parameters are adjusted for each generation, were applied to four examples with varying sizes in the simulation.