An online intelligent vehicle routing and scheduling approach for B2C e-commerce urban logistics distribution | Zendy

Haiyang Shi | Zendy; Lijun Sun | Zendy; Yue Teng | Zendy; Xiangpei Hu | Zendy

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An online intelligent vehicle routing and scheduling approach for B2C e-commerce urban logistics distribution

Author(s) -

Haiyang Shi,

Lijun Sun,

Yue Teng,

Xiangpei Hu

Publication year - 2019

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2019.09.428

Subject(s) - computer science , vehicle routing problem , scheduling (production processes) , complementarity (molecular biology) , e commerce , operations research , city logistics , industrial engineering , routing (electronic design automation) , computer network , world wide web , transport engineering , mathematical optimization , mathematics , biology , engineering , genetics

This paper investigates a large-scale vehicle routing and scheduling problem of B2C e-commerce urban logistics distribution in China. A qualitative and quantitative combined online intelligent scheduling approach is developed by means of incorporating operations research methods and artificial intelligence technologies. This approach aims to make good use of advantages of qualitative and quantitative methods by the complementarity of model-based computing in operations research and knowledge-based searching in artificial intelligence. A case study from a Chinese e-commerce company demonstrates its effectiveness.

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