| In modern society,the residents' demand for fresh food is increasing.So the cold chain logistics has been developed rapidly.But at the same time,the phenomenon of high energy consumption and high carbon emission emerges,which is contrary to the low-carbon economy advocated nowadays.Logistics distribution enterprises improve economic benefits by changing the traditional distribution model.But at the same time,the enterprises ignore environmental benefits.Therefore,researching on low-carbon distribution of cold chain logistics conforms to the low-carbon development concept at the present stage.Aiming at the new demands of fresh food in cold chain distribution,such as high time efficiency,low cost,resource and information sharing,low-carbon and green,this article puts forward a semi-open multiple distribution centers(multi-DCs)distribution model taking fresh food as the research object.The paper considers carbon emission factor,and analyzes the vehicle dispatch cost,transport cost,time penalty cost,cargo loss cost,cooling costs and carbon emissions cost occurring in the process of cold chain distribution.Secondly,a semi-open multi-DCs cold chain joint distribution path optimization model is constructed,which takes vehicle load and customer soft time window as constraints and aims at the minimum total cost.Finally,the proposed model was solved by the hybrid algorithm of simulated annealing algorithm(SAA),ant colony algorithm(ACA)and artificial fish-swarm algorithm(AFSA).Combining with a practical logistics distribution enterprise,this paper compares and analyses the distribution schemes using the basic ACA and the improved hybrid ACA.This paper verifies the rationality and effectiveness of the improved hybrid ACA in solving the optimization model of cold chain joint distribution route of fresh food considering carbon emission,and provides some theoretical basis for the cold chain distribution enterprises to achieve low carbon and low cost distribution. |
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