生鲜品电商与冷链宅配联合运送优化研究

doi:10.16381/j.cnki.issn1003-207x.2019.0107

中国管理科学 ›› 2022, Vol. 30 ›› Issue (2): 127-136.doi: 10.16381/j.cnki.issn1003-207x.2019.0107

生鲜品电商与冷链宅配联合运送优化研究

任向阳, 吕娜

河北工程大学管理工程与商学院，河北邯郸056000

收稿日期:2019-01-18 修回日期:2019-09-06 出版日期:2022-02-20 发布日期:2022-02-20
通讯作者: February,2022 E-mail:boyrenxy@126.com
基金资助:
任向阳：

Optimization of Joint Delivery of Fresh Products E-commerce and Cold Chain Home Delivery

REN Xiang-yang, LV Na

Management Engineering and Business School,Hebei University of Engineering,Handan 056038,China

Received:2019-01-18 Revised:2019-09-06 Online:2022-02-20 Published:2022-02-20
Contact: 任向阳：(1979-)，男(汉族)，河北乐亭人，河北工程大学管理工程与商学院，教授，博士，硕士生导师，研究方向：物流与供应链管理，Email:boyrenxy@126.com. E-mail:boyrenxy@126.com
Supported by:
国家自然科学基金资助项目(61375003)；河北省自然科学基金资助项目(F2014402040)；河北省社会科学基金资助项目(HB16GL026；HB17GL022)；河北省教育厅人文社会科学研究重大课题攻关项目(ZD202105)

摘要/Abstract

摘要： 随着社会经济的发展和人们生活水平的提高，消费者对生鲜品的需求由量的增加转化为质的提升，更加安全、环保、绿色的产品越来越受到人们的青睐，这在一定程度上促进了生鲜宅配的发展。在传统方式下获得优质生鲜品的途径有限，电子商务的出现和快速发展，给生鲜品在网络上的销售提供了良好的平台。本文针对冷链配送中，由于生鲜品供应节点与需求节点距离长或者配送产品周期短等情况，给出基于聚类的两阶段联合运送方法：第一阶段按照客户需求点的分布情况，提出基于模糊C-均值算法(FCM)的配送中转点选择和需求点划分方法，从而构建联合运送网络结构；第二阶段建立基于聚类的联合运送路径优化模型。最后，通过数据实验，验证所提方法和模型的合理性与高效性。

关键词: 生鲜电商配送；冷链宅配；联合运送

Abstract: With the development of social economy and the improvement of people’s living standards, consumers' demand for fresh products has changed from quantity to quality. Safer, environmental and green products are more and more favored by people, which to a certain extent promotes the development of fresh housing distribution. The traditional ways to obtain high-quality fresh products are limited. The emergence and rapid development of e-commerce provides a good platform for the sale of fresh products on the Internet. It is worth studying the optimization of joint delivery of fresh products e-commerce and cold chain home delivery.

Key words: distribution of e-commercial fresh product； cold chain home delivery; joint delivery

中图分类号:

F253

任向阳, 吕娜. 生鲜品电商与冷链宅配联合运送优化研究[J]. 中国管理科学, 2022, 30(2): 127-136.

REN Xiang-yang, LV Na. Optimization of Joint Delivery of Fresh Products E-commerce and Cold Chain Home Delivery[J]. Chinese Journal of Management Science, 2022, 30(2): 127-136.

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生鲜品电商与冷链宅配联合运送优化研究

Optimization of Joint Delivery of Fresh Products E-commerce and Cold Chain Home Delivery

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