Font Size: a A A

Comparison And Analysis Of Several Commom Distribution Modes Of Cold Chain Logistics

Posted on:2020-09-03Degree:MasterType:Thesis
Country:ChinaCandidate:J WangFull Text:PDF
GTID:2439330602464261Subject:Logistics engineering
Abstract/Summary:PDF Full Text Request
Under the new situation for the higher requirements of logistics transportation,cold chain as one of the important aspects has important research significance.How to reduce the cost to a greater extent under the existing resources,how to obtain more effective distribution routes and how to change between different ways,this is the main issue of this paper.By comparing and analyzing different modes of joint distribution,this paper establishes a cold chain distribution network for fresh and perishable products.There are three types of joint distribution:customer resource integration,distribution center and distribution vehicle integration,and customer and distribution center and distribution vehicle integration.According to the gradual expansion of integrated resources and the gradual complexity of integration methods,three different modes of joint distribution are established.Choose the customer resource integration and distribution center and distribution vehicle integration under the two different conditions of modeling and analysis.Because of the time requirement of cold chain,the establishment of the model is more specific and practical.In this paper,the genetic algorithm and the improved quantum genetic algorithm are used to solve the path optimization model.It can increase the diversity of population,reduce the probability of falling into local optimum,and improve the convergence ability of the algorithm by improving the evolutionary mode of crossover and mutation in QGA and multi-evolution of niche,and screening population evolution by roulette selection.Finally,combined with the actual case,the MATLAB software is used to program and solve the problem.The feasibility of the model and algorithm is verified concretely,and the numerical modification can be quantitatively analyzed according to the actual situation.Compared with genetic algorithm,the improved quantum genetic algorithm can obtain better solution and route,but the calculation time is obviously different and the time is longer.Therefore,in the cold chain transportation with strict time requirement,it needs to be decided according to the situation.Comparing with different co-distribution models,the model which merges more resources gets a better solution.Sensitivity analysis shows the influence of different environment on the model parameters,and chooses two parameters,internal and external temperature difference and transport speed,to analyze.This study can provide a reference for the joint distribution of enterprises and also provide a theoretical basis for the further development of cold chain joint distribution.
Keywords/Search Tags:cold chain, joint distribution, improved quantum genetic algorithm
PDF Full Text Request
Related items