工业工程 ›› 2023, Vol. 26 ›› Issue (2): 111-122.doi: 10.3969/j.issn.1007-7375.2023.02.013

• 系统建模与优化算法 • 上一篇    下一篇

基于人力资源约束和不确定需求的农产品供应链优化配置

聂笃宪1, 唐嘉燕2, 赵金英1, 屈挺3   

  1. 1. 华南农业大学 数学与信息学院, 广东 广州 510642;
    2. 上海财经大学 数学学院, 上海 200444;
    3. 暨南大学 物联网与物流工程研究院, 广东 珠海 519070
  • 收稿日期:2022-02-21 发布日期:2023-05-05
  • 通讯作者: 屈挺(1979-),男,陕西省人,教授,博士,主要研究方向为物流与供应链管理、物联网与智能制造等。Email:quting@jnu.edu.cn E-mail:quting@jnu.edu.cn
  • 作者简介:聂笃宪(1974-),男,湖南省人,副教授,博士,主要研究方向为复杂系统优化与供应链管理
  • 基金资助:
    国家自然科学基金资助项目(51875251);国家重点研发计划资助项目(2021YFB3301701);国家级创新训练资助项目(202110564022);“广东特支计划”本土创新创业团队资助项目(2019BT02S593);校级创新训练资助项目(XG376)

An Optimal Configuration of Agri-food Supply Chain Based on Labor Resource Constraints and Uncertain Demand

NIE Duxian1, TANG Jiayan2, ZHAO Jinying1, QU Ting3   

  1. 1. College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China;
    2. College of Mathematics, Shanghai University of Finance and Economics, Shanghai 200444, China;
    3. School of Intelligent Systems Science and Engineering, Jinan University (Zhuhai Campus), Zhuhai 519070, China
  • Received:2022-02-21 Published:2023-05-05

摘要: 为了探究新冠肺炎疫情大流行对农产品供应链的冲击,研究人力资源约束和不确定的市场需求条件下的多级农产品供应链的优化配置问题,建立非线性规划模型。以某大型企业农产品小麦及衍生品麦粉供应链为例,利用自适应蚁群算法对模型进行求解,比较优化工具Lingo的求解结果,验证自适应蚁群算法的有效性。最后,分别对不同的外部市场需求和人力资源约束进行敏感性分析,得出一些重要管理学启示。

关键词: 农产品供应链, 供应链配置, 非线性规划, 人力资源约束, 自适应蚁群算法

Abstract: In order to explore the impacts of the COVID-19 pandemic on agri-food supply chain, a study is conducted on the optimal configuration of multi-stage agri-food supply chain under labor resource constraints and uncertain market demand. A nonlinear programming model is established. Taking a large enterprise of wheat and wheat flour derivatives supply chain as an example, the adaptive ant colony algorithm (ACA) is adopted to solve the model. The solutions obtained by the optimization tool Lingo are compared to verify the effectiveness of ACA. Finally, sensitivity analysis is conducted on different external market demand and labor resource constraints, and some important management implications are obtained.

Key words: agri-food supply chain, supply chain configuration, nonlinear programming, labor resource constraints, adaptive ant colony algorithm

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