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粤港澳大湾区绿色农产品冷链配送最优路径选择研究

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为了提升消费者体验感、提高经济效益并实现环境保护,研究粤港澳大湾区绿色农产品冷链配送最优路径选择方法。基于绿色农产品冷链配送流程,建立粤港澳大湾区绿色农产品冷链配送网络,包括上游环节、中游环节以及下游环节;分析该网络并依据下游环节对绿色农产品的需求和特征,以配送成本、时间惩罚成本和碳排放最少为目标,设置配送过程中的约束条件,建立大湾区绿色农产品冷链配送最优路径选择模型;通过人工蜂群算法对模型进行求解,选择配送成本低、碳排放量低并符合用户配送时间的粤港澳大湾区绿色农产品冷链配送最优路径。实验结果表明:该方法选择的粤港澳大湾区绿色农产品冷链配送最优路径,降低了配送成本和碳排放量,并提升了客户满意度,具有应用价值。
Research on the Optimal Route Selection for Cold Chain Distribution of Green Agricultural Products in the Guangdong-Hong Kong-Macao Greater Bay Area
To enhance consumer experience,improve economic efficiency,and achieve environmental protection,this study explores the optimal route selection methods for the cold chain distribution of green agricultural products in the Guangdong-Hong Kong-Macao Greater Bay Area.Based on the cold chain distribution process of green agricultural products,a distribu-tion network within the Bay Area is established,including upstream,midstream,and downstream links.Based on the de-mand and characteristics of green agricultural products at the downstream link,the network analyzes and establishes goals of minimum distribution cost,time cost and carbon emission,set the constraints in the distribution process,and establish the optimal path selection model by using the Artificial Bee Colony algorithm to select the optimal distribution routes that offer low distribution costs,reduced carbon emissions,and meet customer delivery times.Experimental results show that the se-lected optimal routes reduce distribution costs and carbon emissions while enhancing customer satisfaction,demonstrating practical application value.

Guangdong-Hong Kong-Macao Greater Bay Areagreen agricultural productsdistribution centercold chain distributionArtificial Bee Colony algorithmoptimal route planning

裘伟超

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惠州经济职业技术学院经济管理学院,广东惠州 516057

粤港澳大湾区 绿色农产品 配送中心 冷链配送 人工蜂群算法 最优路径规划

广东省普通高校青年创新人才项目

2020WQNCX231

2024

南昌师范学院学报
江西教育学院

南昌师范学院学报

CHSSCD
影响因子:0.308
ISSN:1005-3638
年,卷(期):2024.45(2)
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