| In recent years,with the increasing popularity of online shopping in China,the demand for logistics end-to-end distribution in the online shopping environment has increased dramatically.However,the end of online shopping stream distribution has the characteristics of large scale of users,wide geographical distribution,and orders with small batches,multiple frequencies,strong timeliness,etc.,making the problem of the city's terminal delivery increasingly prominent.Unreasonable distribution route planning has led to high distribution costs;homogeneous competition among distribution companies,repeated construction of distribution outlets,and low utilization rate of logistics resources;a large number of delivery vehicles has contributed to urban traffic congestion and environmental pollution;In the environment where the country vigorously develops low-carbon economy and low-carbon logistics,companies do not fully consider the future development trend of the industry in terms of distribution cost accounting,and they do not consider the cost of carbon emissions.In addition,there is a lack of cooperation among current distribution companies,and distribution activities are still carried out independently.Based on this,this paper selects the online shopping flow city terminal distribution vehicle routing problem as the research object,and studies the carbon emission cost accounting method and the joint distribution to the terminal distribution route optimization problem,and establishes a network shopping flow common urban distribution network model considering the carbon emissions.,and verified through actual cases.First,it introduces the related theories of the common distribution vehicle routing problem of online shopping flow cities considering carbon emissions.By analyzing the features of online shopping flow,online shopping flow,urban distribution existing problems and distribution modes,the common delivery mode shared by transfer stations and end outlets that meet the characteristics of online shopping flow is selected,in order to alleviate the existing problems of urban distribution through the application of this mode.In response to the country's call for low-carbon development,this paper has conducted a study on carbon emissions and identified the considerations for adding carbon emissions to the vehicle routing problem.By comparing and analyzing several models of existing vehicle energy consumption and carbon emissions,an improved comprehensive calculation model was proposed.Secondly,the basic model of online shopping flow independent distribution was constructed.Based on this model,energy costs and carbon emissions costs were added.Based on the actual situation,different models were considered at different levels of distribution,and the selected common distribution model was used to construct carbon considerations.E-distribution network shopping flow city co-distribution double-decker vehicle path optimization model.By comparing several commonly used solving algorithms,a genetic algorithm with strong global optimization ability and good randomness was selected as the algorithm for solving the model.According to the characteristics of the model,at the initial population stage,the scanning algorithm that is more suitable for the actual situation is used to allocate the end nodes first.According to the rules of the scanning algorithm,the initial population is randomly generated,and finally the genetic algorithm is used to perform the depth optimization.Finally,the constructed model and design algorithm are applied to the actual case,and the results of the case solving are analyzed.The validity of the model and algorithm in this paper is verified. |
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