首页|多配送中心半开放式冷链物流配送路径优化

多配送中心半开放式冷链物流配送路径优化

扫码查看
为了解决冷链物流服务的成本、质量以及运输产生的碳排放等问题,构建多中心半开放式冷链物流路径优化模型,并将各种动态变化融入该模型中.设计一种改进的NSGA-Ⅱ算法并利用标准测试函数证实该算法具有较好的收敛性与多样性.通过算例实验,结果表明:与不考虑碳排放方案相比,考虑碳排放方案的配送成本增加了 19.00%,运输距离减少了 5.16%,碳排放成本降低了13.03%;与初始配送方案相比,实时优化方案的配送成本下降了 29.78%,碳排放成本下降了23.19%,客户满意度增幅14.49%;与单配送中心模式相比,多配送中心模式的配送成本降低了27.30%,碳排放成本降低了 48.89%,客户满意度提高了 13.11%,从而为冷链物流企业带来一定的管理启示.
Optimization of Multi-depot Half-open Cold Chain Logistics Distribution Path
With the rapid development of the cold chain logistics industry,enterprises are paying more attention to the cost,quality of logistics services and carbon emissions generated by trans-portation.In order to solve this problem,a multi-depot half-open cold chain logistics routing op-timization model is constructed,and various dynamic changes are integrated into the model.An improved NSGA-1I algorithm is designed and the standard test function is used to prove that the algorithm has good convergence and diversity.The results show that,compared with the scheme without considering carbon emission,the distribution cost of the scheme with considering carbon emission increases by 19.00%,the transportation distance decreases by 5.16%,and the carbon emission cost decreases by 13.03%.Compared with the initial distribution scheme,the distribu-tion cost of the real-time optimization scheme decreased by 29.78%,the carbon emission cost de-creased by 23.19%,and the customer satisfaction increased by 14.49%.Compared with the sin-gle distribution center mode,the distribution cost of the multi-depot mode is reduced by 27.30%,the carbon emission cost is reduced by 48.89%,and the customer satisfaction is increased by 13.11%,which brings certain management enlightenment for cold chain logistics enterprises.

cold chain logisticsmulti-depotdynamic path optimizationimproved NSGA-Ⅱ algorithm

江雨燕、尹莉、王付宇

展开 >

安徽工业大学管理科学与工程学院,安徽马鞍山 243002

冷链物流 多配送中心 动态路径优化 改进的NSGA-Ⅱ算法

国家自然科学基金国家自然科学基金

7187200271874001

2024

复杂系统与复杂性科学
青岛大学

复杂系统与复杂性科学

CSTPCD北大核心
影响因子:0.798
ISSN:1672-3813
年,卷(期):2024.21(2)