Multi Constrained Optimization model of Supply Chain Based on Intelligent Algorithm

被引:0
|
作者
Juan, Han [1 ]
机构
[1] Shanghai Univ, Sch Management, Shanghai 200041, Peoples R China
关键词
Supply Chain; Intelligent Algorithm; Logistics;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In order to research the quality coordination mechanism of logistics service supply chain in condition of bounded rationality, based on research method of logistics supply chain optimization model of evolutionary game theory of intelligent algorithm, evolutionary game model for quality coordination of logistics service supply chain is built and also analyzed. The research results indicate: the factors affecting quality coordination of logistics service supply chain are coordination cost, extraneous income, default cost, excess earning, complaint probability, reputation loss and loss sharing coefficient. By adjusting the values of these parameters, the quality coordination of logistics service supply chain can be effectively facilitated.
引用
收藏
页码:47 / 51
页数:5
相关论文
共 50 条
  • [31] Design and Optimization of Cluster Supply Chain Based on Genetic Algorithm
    Liu, Chunling
    Chen, Jingyi
    Yuan, Aping
    PROCEEDINGS OF INTERNATIONAL SYMPOSIUM ON COMPUTER SCIENCE AND COMPUTATIONAL TECHNOLOGY (ISCSCT 2009), 2009, : 423 - 426
  • [32] Research on Optimization of Intelligent Logistics Agile Distribution Model in Supply Chain Networks
    Ai, Yun Ping
    Liu, Dong Yan
    Liu, Jia-Bao
    Liu, Yun
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [33] Research on Optimization of Intelligent Logistics Agile Distribution Model in Supply Chain Networks
    Ai, Yun Ping
    Liu, Dong Yan
    Liu, Jia-Bao
    Liu, Yun
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [34] Firefly Algorithm for Supply Chain Optimization
    Elkhechafi M.
    Benmamoun Z.
    Hachimi H.
    Amine A.
    Elkettani Y.
    Lobachevskii Journal of Mathematics, 2018, 39 (3) : 355 - 367
  • [35] The Costs Optimization Model Based on Stochastic Model Predictive Control in Multi-level Supply Chain
    Li, Shengpu
    Wang, Xiaohui
    IAEDS15: INTERNATIONAL CONFERENCE IN APPLIED ENGINEERING AND MANAGEMENT, 2015, 46 : 577 - 582
  • [36] Multi-constrained routing optimization algorithm based on DAG
    Hu, Xia
    Wang, Kaidong
    Wang, JinJiang
    Wang, Kun
    Hu, Youbing
    Wang, Shuangqin
    IECON 2018 - 44TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2018, : 5906 - 5910
  • [37] A Multi-Objective Constrained Optimization Model for Designing a Green Closed Loop Supply Chain Network in Tax System
    Sergeevna, Sergushina Elena
    Vladimirovich, Kabanov Oleg
    Anatolievich, Grigoryev Andrey
    Lesovik, Ruslan, V
    Khyzhak, Natalya P.
    Albertovna, Shereuzheva Madina
    Mikhailovich, Ushakov Ruslan
    Yurevna, Kamchatova Ekaterina
    Sergeevna, Antonova Irina
    Valentinovna, Karageziyan Marina
    Ivanovna, Yatsunova Tatiana
    Talyatovna, Rustamova Irada
    Nikolaevich, Zhadan Vladimir
    INDUSTRIAL ENGINEERING AND MANAGEMENT SYSTEMS, 2021, 20 (04): : 686 - 694
  • [38] Supply chain scheduling optimization based on genetic particle swarm optimization algorithm
    Feng Xiong
    Peisong Gong
    P. Jin
    J. F. Fan
    Cluster Computing, 2019, 22 : 14767 - 14775
  • [39] Supply chain scheduling optimization based on genetic particle swarm optimization algorithm
    Xiong, Feng
    Gong, Peisong
    Jin, P.
    Fan, J. F.
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (Suppl 6): : 14767 - 14775
  • [40] Improving the Performance of Hydrological Model Parameter Uncertainty Analysis Using a Constrained Multi-Objective Intelligent Optimization Algorithm
    Liu, Xichen
    Kan, Guangyuan
    Ding, Liuqian
    He, Xiaoyan
    Liu, Ronghua
    Liang, Ke
    WATER, 2023, 15 (15)