Paper
22 May 2023 Research on the optimization of fresh food logistics distribution path under O2O e-commerce model
Yunchun Cao, Manli Gong
Author Affiliations +
Proceedings Volume 12640, International Conference on Internet of Things and Machine Learning (IoTML 2022); 126400J (2023) https://doi.org/10.1117/12.2673567
Event: International Conference on Internet of Things and Machine Learning (IoTML 2022), 2022, Harbin, China
Abstract
The emergence of O2O e-commerce model has put forward higher requirements on the cold chain logistics distribution capability of fresh produce e-commerce. This paper constructs a fresh food logistics optimization model under the O2O e-commerce model,uses a genetic algorithm to solve the "last mile" optimal path, and MATLAB software is used to verify the effectiveness of the algorithm applied to a the optimization of the end delivery path of a fresh food shop. Finally, the research method and the fresh produce e-commerce operation are suggested to provide reference for the fresh produce platform to achieve "cost reduction and efficiency enhancement".
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yunchun Cao and Manli Gong "Research on the optimization of fresh food logistics distribution path under O2O e-commerce model", Proc. SPIE 12640, International Conference on Internet of Things and Machine Learning (IoTML 2022), 126400J (22 May 2023); https://doi.org/10.1117/12.2673567
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KEYWORDS
Mathematical optimization

Genetic algorithms

Analytical research

Computer simulations

Design and modelling

MATLAB

Transportation

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