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Study on Optimization of cold chain logistics distribution path of agricultural products in Hefei

Published: 14 October 2022 Publication History

Abstract

Taking the cold chain logistics of agricultural products in Hefei as the research point, the distribution path of Zhougudui cold chain market is optimized. Based on the modeling analysis under the three elements of fuel consumption, stability and cost, the improved nearest insertion method is used for solution. Compared with the solution results of the original distribution path and mileage saving method, it is found that the improved insertion method is more suitable for the optimization of cold chain logistics distribution path in Hefei, which can effectively reduce the distribution logistics cost and improve the efficiency of cold chain logistics distribution.

References

[1]
Xia Wenhui, Zhang Xia, Xia qianyin. Cold chain logistics distribution mode and coordination mechanism of urban fresh agricultural products e-commerce [J]. Jiangsu agricultural science, 2019, 47 (4): 321-325.
[2]
Ma Shuai. Research on location and route optimization of urban fresh food cold chain logistics distribution center [D]. Beijing Jiaotong University, 2018.
[3]
Wang Jianqiang. Research on innovation strategy of agricultural cold chain logistics development model under the background of "Internet +". China market, 2019,34 (9): 177-178.
[4]
Wang Yu. Jingdong Logistics: practicing high standards to boost the development of cold chain logistics [J]. Logistics technology and application, 2019, 24 (1): 47-49.
[5]
Hu Jianmiao. Problems and Countermeasures in the development of cold chain logistics of fresh agricultural products in China [J]. Reform and strategy, 2017, 33 (5): 82-84.

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ICCIR '22: Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics
June 2022
905 pages
ISBN:9781450397179
DOI:10.1145/3548608
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 October 2022

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Overall Acceptance Rate 131 of 239 submissions, 55%

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