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联合补货策略下的供应商选择和订货量分配协同优化
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  • 英文篇名:Collaborative optimization of suppliers selection and order quantity allocation using joint replenishment policy
  • 作者:曾宇容 ; 万建超 ; 吕盛祥 ; 王思睿 ; 王林
  • 英文作者:ZENG Yu-rong;WAN Jian-chao;LYU Sheng-xiang;WANG Si-rui;WANG Lin;School of Communication and Information Engineering,Hubei University of Economics;School of Management,Huazhong University of Science and Technology;Potevio Information Technology Co.Ltd.;
  • 关键词:供应商选择 ; 订货量分配 ; 联合补货 ; 分组约束 ; 差分进化算法 ; 模拟退火算法
  • 英文关键词:supplier selection;;order quantity allocation;;joint replenishment;;grouping constraint;;differential evolution algorithm;;simulated annealing
  • 中文刊名:KZYC
  • 英文刊名:Control and Decision
  • 机构:湖北经济学院信息与通信工程学院;华中科技大学管理学院;普天信息技术有限公司;
  • 出版日期:2018-10-12 17:25
  • 出版单位:控制与决策
  • 年:2019
  • 期:v.34
  • 基金:湖北省教育厅重点科研项目(D20152203)
  • 语种:中文;
  • 页:KZYC201908018
  • 页数:9
  • CN:08
  • ISSN:21-1124/TP
  • 分类号:141-149
摘要
分析基于联合补货策略的供应商选择与商品订货量分配协同决策问题,设计一种有效的改进差分进化算法(Improved differential evolution, IDE)进行求解.在考虑商品异质性带来的分组约束基础上,构建一种拓展的供应商选择与订货量分配协同决策新模型.对比算例分析表明, IDE在求解此问题及其扩展问题时优于标准差分进化算法和模拟退火算法,随机生成的大规模算例进一步验证了IDE求解此类复杂问题的优越性.
        The problem of coordinated supplier selection and quantity allocation based on the joint replenishment policy is studied, and an effective and improved differential evolution(IDE) algorithm is proposed to solve the problem. Then a new coordinated supplier selection and order quantity allocation model considering grouping constraint caused by the heterogeneity of items is developed. Results of contrastive numeric examples show that the IDE algorithm outperforms the standard DE algorithm and the simulated annealing(SA) algorithm in solving this problem and its extension type.The effectiveness of the IDE algorithm is further verified by randomly generated large-scale numerical examples.
引文
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