Research on the Optimization of JD's Self-built Logistics

Peng Luo; Meili  Zhang

doi:10.54691/fhss.v2i7.1315

Authors

Peng Luo
Meili Zhang

DOI:

https://doi.org/10.54691/fhss.v2i7.1315

Keywords:

Self-built Logistics; IFE Matrix; EFE Matrix; Logistics Optimization.

Abstract

JD's Self-built logistics model has made great achievements but also faces new challenges. This paper constructs a SWOT matrix to analyze the advantages, disadvantages, opportunities, and threats of JD's Self-built logistics. Identify the primary problems of Self-built logistics by constructing an IFE internal factor analysis matrix and an external factor EFE matrix. Finally, feasible suggestions are given from four aspects: improvement of satisfaction, personnel training, logistics facility construction, and information center construction.

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References

Yang Ying,Chen Miaochao. Selection Method of Cross-Border e-Commerce Export Logistics Mode Based on Collaborative Filtering Algorithm[J]. Journal of Mathematics,2022,2022.

Lixue Fan,Huaqiong Liu*. Study of Crowdsourcing Logistics Mode for Rural Logistics “Last Mile” Delivery [J]. Journal of Simulation,2020,8(3).

Shuqiao Wu. Reverse Network Design for E-commerce Enterprises with Self-operated Logistics under Uncertainties[J]. International Core Journal of Engineering,2022,8(2).

Dave Blanchard. The Era of Do-It-Yourself Logistics[J]. Material Handling & Logistics,2018.

Tang Xiuli. Research on Smart Logistics Model Based on Internet of Things Technology[J]. IEEE ACCESS, 2020,8.