Research on Optimization of Cold Chain Logistics Distribution Path of Fresh Agricultural Products

DOI

10.2991/icoeme-19.2019.130How to use a DOI?

Keywords

cold chain logistics; path optimization; real-time road conditions; ant colony algorithm

Abstract

In view of the long-term deterioration and high cost of cold chain logistics distribution of fresh agricultural products, this paper takes into account the increasingly congested road traffic conditions, uses the existing traffic big data platform to obtain real-time road condition information, and rationally plans the delivery route of the cold chain transport vehicle. Considering the total cost of logistics and distribution (including fixed cost, transportation cost, cooling cost of cold chain car, etc.), the freshness of fresh produce and the time window of customer demand, the mathematical model of distribution path optimization is established. The improved ant colony algorithm is used to solve the above model. The example is verified that the cold chain logistics distribution based on real-time road condition information can effectively reduce the cold chain distribution cost and improve customer satisfaction.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Mingyue Li
AU  - Run Tang
PY  - 2019/06
DA  - 2019/06
TI  - Research on Optimization of Cold Chain Logistics Distribution Path of Fresh Agricultural Products
BT  - Proceedings of the 2nd International Conference on Economy, Management and Entrepreneurship (ICOEME 2019)
PB  - Atlantis Press
SP  - 697
EP  - 704
SN  - 2352-5428
UR  - https://doi.org/10.2991/icoeme-19.2019.130
DO  - 10.2991/icoeme-19.2019.130
ID  - Li2019/06
ER  -