Distribution routing optimization of cold chain logistics with consideration of road traffic conditions

LAN Hui; HE Qin-fei; BIAN Zhan; JIN Zhi-hong

doi:10.16411/j.cnki.issn1006-7736.2015.04.010

Journal of Dalian Maritime University >

2015 , Vol. 41 >Issue 4: 67 - 74

DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2015.04.010

Distribution routing optimization of cold chain logistics with consideration of road traffic conditions

LAN Hui ,
HE Qin-fei ,
BIAN Zhan ,
JIN Zhi-hong

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(1.Transportation Management College,Dalian Maritime University,Dalian 116026,China;2.OdfjellChangxingTerminals(Dalian)Co.,Ltd,Dalian 210200,China;3.Cosco logistics (Nantong)Co.,Ltd,Nantong 226006,China;4.College of Business Administration,Capital University of Economics and Business,Beijing100070,China)

Received date: 2015-04-30

Revised date: 2015-07-14

Online published: 2023-05-25

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Abstract

Cold chain logistics distribution has the characteristic of timeliness. During the actual distribution process, the urban road traffic conditions directly affect the traveling time of distribution vehicles. According to traffic conditions of each road in each time period, road traffic conditions matrix of distribution route was counted, and the road distance matrix was transformed into traveling time matrix. The distribution optimization model of cold-chain logistics was constructed with considering transportation cost, cargo damage cost, energy consumption cost as well as punishment cost. Hybrid genetic algorithm combining genetic algorithm with 2-opt algorithm was built. Comparing with the existing research method shows the rationality and effectiveness of the proposed model and algorithm.

Key words： cold chain logistics; distribution route; time window; road traffic condition; hybrid genetic algorithm

Cite this article

LAN Hui , HE Qin-fei , BIAN Zhan , JIN Zhi-hong . Distribution routing optimization of cold chain logistics with consideration of road traffic conditions[J]. Journal of Dalian Maritime University, 2015 , 41(4) : 67 -74 . DOI: 10.16411/j.cnki.issn1006-7736.2015.04.010

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