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Research On Optimization Of Quick Frozen Food Logistics Delivery Path Based On Ant Colony Algorithm

Posted on:2024-03-30Degree:MasterType:Thesis
Country:ChinaCandidate:X Q WuFull Text:PDF
GTID:2542307187457934Subject:Logistics Engineering and Management (Professional Degree)
Abstract/Summary:PDF Full Text Request
At present,the environment and conditions for the development of cold chain logistics continue to improve,and cold chain logistics has entered a period of rapid development.The market scale of cold chain logistics is very large,and the number of related employees is increasing year by year.On this basis,the country has also introduced relevant policies to drive the development of the cold chain industry.However,there are still a series of problems in China,such as a low cold chain circulation rate,high product loss rate,low distribution satisfaction,complex distribution process,large investment and unreasonable path planning.All these have caused a waste of resources and economic loss.This paper takes cold chain logistics distribution as the research entry point,and studies the cold chain logistics distribution problem from the dimension of total path cost and distribution satisfaction.Firstly,the research background and research significance of the article are explained,and the research of domestic and foreign scholars on path optimization and cold chain logistics is introduced.Secondly,the theories related to vehicle path optimization and cold chain logistics distribution are introduced.Again,according to the characteristics of frozen food in the distribution process,a distribution path total cost model and a distribution satisfaction model based on time satisfaction are constructed considering fixed cost,transportation cost,refrigeration cost,carbon emission cost and time window penalty cost in the distribution of frozen food.Then,the ant colony algorithm is used to design and solve the model;finally,the optimal solution after the optimization of the ant colony algorithm is obtained through MATLAB software simulation and compared with the original distribution path used by the company;finally,it is concluded that the optimization of the cold chain logistics distribution path problem by using the ant colony algorithm can achieve the effect of cost saving and improving the satisfaction of distribution.The research of this paper can help the relevant cold chain logistics enterprises to choose the distribution path reasonably,reduce the distribution cost and improve the customer’s satisfaction with the distribution work,so that the enterprise and the customer can achieve the purpose win-win.
Keywords/Search Tags:Path Optimization, Cold Chain Logistics, Mixed Time Window, Ant Colony
PDF Full Text Request
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