Research On Optimization Of Collaborative Distribution Network For Urban And Rural E-commerce Logistics

With the market environment of e-commerce and the improvement of technology platforms,"network shopping" is subtly changing the way of consumption of the people because of its obvious convenience,service and competitive price.As a complementary industry of e-commerce,e-commerce logistics demand also shows a spurt of growth.However,as the last mile of e-commerce for the final customer,especially the long-distance and cross-regional “last mile of urban and rural distribution” is difficult to control due to its significant demand,large batches and demand characteristics.The characteristics make the urban and rural end distribution links become the key link that affects the highest cost and lowest efficiency of the entire e-commerce supply chain logistics unit.How to effectively solve the shortcomings of distribution in urban and rural areas has become the focus of current academic and industrial circles.However,the current research on urban and rural distribution problems in the e-commerce environment mainly focuses on the macro management of distribution strategies and service systems.Most of the research on the operational optimization level lacks in-depth consideration of the characteristics of distribution logistics.This paper mainly from the distribution system.From the perspective of operational optimization,using the relevant theories of collaborative distribution and vehicle path optimization,breaking the limitations of the traditional operation of the traditional distribution enterprises,and carrying out the research on the optimization of urban and rural collaborative distribution networks,including:Firstly,based on the analysis of the existing urban-rural distribution model,the collaborative routing and vehicle routing optimization theory is used to propose the research of multi-center collaborative network optimization based on customer selection.This problem is positioned as a closed collaborative multi-center vehicle path optimization problem that simultaneously delivers hybrid loading characteristics.In this problem,the freight transfer cost of the distribution center,the cost of cargo handling,and the operating cost of the distribution vehicle are considered.Under the constraint of the traditional VRP problem,considering the limitation of the cargo handling capacity of the distribution center,a multi-center collaborative distribution vehicle routing optimization model with the minimum total network cost is established.At the same time,the multi-center vehicle routing optimization model is established with the goal of minimizing the service cost under the independent operation of a single distribution center without considering the coordinated distribution.Secondly,based on the characteristics and complexity of the model,a genetic algorithm is designed to solve the problem.The algorithm constructs a "three-layer fixed-length" chromosome coding form that is conducive to the production of feasible solutions,and designs an initial solution generation mechanism based on the "first grouped vehicle path" two-stage heuristic algorithm and effective chromosome evaluation.Cross and mutation operators to improve genetic efficiency.And based on the numerical case to carry out experiments,and draw corresponding conclusions.Finally,in order to solve the problem of uneven income generated by multi-center collaborative distribution,the problem is extended to the related research on the distribution of benefits among collaborative distribution enterprises.Based on the optimization results,the Shapley value method is used to reasonably distribute the revenue of the collaborative distribution alliance.The experimental results fully demonstrate the application potential of collaborative distribution.It can provide theoretical guidance and decision-making basis for the coordinated distribution operation mode in urban and rural areas.