Joint Replenishment Problem with Multisupplier using Hybrid Genetic Algorithm(<Special English Issue>Global Supply Chain Management)
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- Yoo Myungryun
- Musasi Institute of Technology
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- Gen Mitsuo
- Waseda University
書誌事項
- タイトル別名
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- Joint replenishment problem with multisupplier using hybrid genetic algorithm
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説明
The joint replenishment problem (JRP) involves determining a replenishment policy that minimizes the total cost of replenishing multiple items from a single supplier. In this paper, we propose a new approach for the JRP where items are procured from multisupplier. In solution algorithms, the Genetic Algorithm (GA) and the Simulated Annealing (SA) are cooperatively used. In this method, the convergence of GA is improved by introducing the probability of SA as the criterion for acceptance of new trial solution. We use genetic algorithm for this problem. The purpose of the proposed algorithm in this paper is to minimize the total relevant costs per unit time. The effectiveness of the proposed algorithm is shown through a simulation study.
収録刊行物
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- 日本経営工学会論文誌
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日本経営工学会論文誌 57 (6), 497-502, 2007
公益社団法人 日本経営工学会
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詳細情報 詳細情報について
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- CRID
- 1390282680482265600
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- NII論文ID
- 110007521697
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- NII書誌ID
- AN10561806
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- ISSN
- 21879079
- 13422618
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- NDL書誌ID
- 8711916
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可
