考虑众包物流的大型生鲜商超配送策略研究

doi:10.3969/j.issn.1008-2107.2024.04.003

	考虑众包物流的大型生鲜商超配送策略研究
其他题名	Research on Delivery Strategy for Large Fresh Food Supermarkets Considering Crowdsourcing Logistics
	曹晓军; 吕超; 曹子龙; 彭会萍
	2024-08-15
发表期刊	商学研究
卷号	31 期号:04 页码:27-40
摘要	针对冷链运输导致大型生鲜商超配送成本高的问题，本文提出了一种采用众包车和自备物流协同配送的模式。考虑企业调用社会车辆并结合自有冷链运输实施众包协同配送，将商品分为冷冻、冷藏、常温三类，构建了带容量和软时间窗限制的多车型车辆路径问题(HFCVRPSTW)模型。该模型涉及冷藏车行驶成本、固定成本、众包车补偿成本、冷藏商品包装成本和损失成本以及时间成本等多个参数。通过设计初始解、采用自循环的衰减破坏策略以及引入新算子的改进自适应大规模邻域搜索(ALNS)算法对模型求解。采用Solomon数据集的拓展算例验证了模型的合理性和算法的优越性。研究得到以下结论：(1)通过对不同类商品的数量比例以及众包车数量进行灵敏度分析发现，众包协同配送的总成本对物流货物中各类商品的配比不敏感，但众包车数量的增加会更有效地降低总成本；(2)对比不同客户分布的算例研究得出，客户点的分布对众包协同配送降低总成本的效果具有显著影响，当客户处于随机分布与混合分布状态时，企业应优先选择众包协同配送，当客户呈聚集分布且众包车数量较少时，企业应优先选择自营配送。
其他摘要	In order to solve the problem of high distribution costs for large fresh food supermarkets due to cold chain transporta-tion,a collaborative distribution model of crowdsourcing vehicles and self-owned logistics is introduced.Considering that enterprises call on social vehicles and implement crowdsourcing collaborative distribution in combination with their own cold chain transportation,we divide the goods into three categories:frozen,refrigerated,and room temperature,and a model of Heterogeneous Fleets Vehicle Routing Problem with Capacity and Soft Time Windows Constraints(HFCVRPSTW)is constructed.The model involves multiple pa-rameters such as refrigerated truck driving costs,fixed costs,crowdsourcing vehicle compensation costs,refrigerated commodity packa-ging costs,loss costs and time costs.The model is solved by designing an initial solution,a self-loop attenuation destruction strategy,and an improved adaptive large neighborhood search(ALNS)algorithm that proposes new operators.An extended calculation example using the Solomon data set is used to verify the rationality of the model and the superiority of the algorithm.The study draws the follow-ing conclusions:(1)Through sensitivity analysis on the proportion of the quantity of different types of goods and the number of crowdsourcing vehicles,it is found that the total cost of crowdsourcing collaborative distribution is not sensitive to the ratio of various types of goods in logistics goods,but the increase in the number of crowdsourcing vehicles more effectively reduces the total cost;(2)Contrastive case studies of different customer distributions show that the distribution of customer points has a significant impact on the effectiveness of crowdsourcing collaborative distribution in reducing the total cost.When customers are in random distribution and mixed distribution,enterprises give priority to crowdsourcing collaborative delivery;when customers are clustered and the number of crowdsourcing vehicles is small,enterprises should give priority to self-operated delivery.
关键词	生鲜商超众包协同配送改进自适应大规模邻域搜索算法成本优化
DOI	10.3969/j.issn.1008-2107.2024.04.003
URL	查看原文
收录类别	AMI
ISSN	2096-4315
语种	中文
原始文献类型	学术期刊
中图分类号	U492.336.4;F721;F252
CN号	43-1539/F
文献类型	期刊论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/38223
专题	信息工程与人工智能学院
作者单位	兰州财经大学信息工程与人工智能学院
第一作者单位	信息工程与人工智能学院
推荐引用方式 GB/T 7714	曹晓军,吕超,曹子龙,等. 考虑众包物流的大型生鲜商超配送策略研究[J]. 商学研究,2024,31(04):27-40.
APA	曹晓军,吕超,曹子龙,&彭会萍.(2024).考虑众包物流的大型生鲜商超配送策略研究.商学研究,31(04),27-40.
MLA	曹晓军,et al."考虑众包物流的大型生鲜商超配送策略研究".商学研究 31.04(2024):27-40.