The Research On B2C Route Optimization Problem For Logistics Distribution Under Low-carbon

After the Copenhagen Climate conference, research on low-carbon related rise to anew height. The Chinese government has brought low-carbon into the Five-Year Planfor national economic and social development. The e-commerce business model hasproven to be a low-carbon model of economic development has been rapid developmentin the past two years. But there also exist environmentally friendly aspects of theelectronic commerce mode which mainly in the logistics links, based on vehicle routingproblem as the research object, the paper probes into the logistics distribution problem.Almost all the existed research papers of VRPs focus on maximizing the mostbenefits with the lowest cost, few consider enterprises should undertake the socialresponsibility, that is rational planning of delivery routes starting from the interests ofthe public to reduce emissions and low-carbon corporate responsibility. Even in somepapers consider how rational planning delivery routes to reduce the side effects of thedistribution generated emissions, noise and other environmental problem. But thesepapers only consider the shortest of the distribution route to reduce environmentalpollution brought by the distribution. Combined with the characteristics of B2Ce-commerce mode of distribution, this paper analyzed more low-carbon factors,redefined B2C enterprises vehicle routing problem with the perspective of low-carbon,and established a low-carbon constrained vehicle routing optimization model. In thispaper, the main research work and results are summarized as follows:①By comparative analysis of the difference between the B2C distribution model,the traditional distribution model and the B2B distribution model, summarizes thecharacteristics of the B2C distribution mode. In this paper, considering the distributionby the terminal customers of the B2C business, according to the characteristics of theB2C e-commerce model, the distribution by the terminal customers of the B2Ce-commerce mode is attributed to a “multi-distribution, multi-customer” VRPDT.②The analysis of the emissions of the main distribution sectors, focusingsummarizes the factors in the low carbon vehicle routing arrangements, mainlyattributed to three main reasons of road conditions, traffic flow conditions, transport mileage. Guided the “multi-distribution, multi-customer” VRPDT with the three maincauses optimization problem, set a reasonable goal of optimization.③The “multi-distribution, multi-customer” VRPDT of B2C was solved in twostages:1) The division of distribution, which mainly considered to improve vehicleutilization and reduce vehicle relative movement distance to achieve low-carbondistribution. First, made a simple distribution region division, and in view of eachdistribution site using K-means clustering analysis method to do the second division,finally resolved the “multi-distribution, multi-customer” VRPDT into several “singlevehicle, multi-customer” VRPDT.2)“Single vehicle, multi-customer” VRPDT route optimization, which mainlyconsider delivery mileage, road traffic to achieve a low-carbon distribution. Accordingto the distribution problem design the corresponding genetic algorithm, improved thesearch process, and through Matlab.