Abstract
This article uses a research method that combines theoretical research and empirical analysis. It first introduces the relevant theories of energy service city distribution sites in the context of e-commerce and then the types of energy service city distribution sites and the composition of energy service city distribution systems. The network layout of the service city distribution site and the location objectives, principles, and processes of the model is studied to determine the network layout plan of the energy service city distribution system in this paper. This paper fully considers the characteristics of the network operation mode of the energy service city distribution site and establishes an optimization model for the location selection and vehicle routing of the distribution center with the lowest total system cost under the simultaneous delivery service mode; based on the hierarchical solution strategy, a combination of deep learning is designed. Algorithms mainly include two-stage hybrid heuristic algorithm of cluster analysis, maximum coverage and genetic algorithm; simulation analysis is conducted to verify the effectiveness of the model and algorithm by data simulation, finally get the integrated optimization plan of distribution center location and routing, and put forward the operation strategy through the result expansion analysis. This paper studies the planning model based on the network layout planning of the energy service city distribution system under the e-commerce environment, aiming to promote the breakthrough development of urban smart logistics and prove the importance of the energy service city distribution station network layout planning. The purpose and results of the research are to reduce traffic and environmental pressures, achieve joint direct distribution, improve the efficiency of urban logistics and distribution, and solve the problem of the last mile of the city.
Highlights
Academic Editor: Wei Wang is article uses a research method that combines theoretical research and empirical analysis
Wiig established the experimental model of electromagnetic cabin pipeline transportation and analyzed the actual operating parameters [11]; Raven analyzed the experience and future development trend of PCP application in Japan [12]; Verrest and Pfeffer analyzed the cabin pipeline transportation in the application situation and development experience of Britain and Europe and made a detailed analysis of the advantages and disadvantages of cabin pipeline transportation [13]. ere are conceptual models of vehicles for underground logistics systems such as CargoCap, which are generally powered by electricity [14]
With the increase of the “supervision and punishment” mechanism, the willingness of the logistics enterprise group to cooperate will gradually increase, and the cooperation between the enterprise groups of the two parties will gradually evolve toward continuing the energy service distribution strategy, but this evolution strategy has no persistence, because enterprises subjectively have certain constraints on supervision and punishment constraints. erefore, after a certain period of time, their strategic behavior will evolve toward the direction of energy service distribution breakdown, as showed in curve 2
Summary
Formula (5) represents the total system cost of energy service city distribution site selection and vehicle routing, including three parts of costs—distribution center related costs, vehicle related costs, and customer time penalty costs; formula (6) indicates the construction of a common distribution center. In the energy service city distribution network optimization model, the LRP problem can be divided into two subproblems, LAP and VRP, and the solution process must consider the interaction between the two subproblems, paying particular attention to the dynamic changes in distribution costs caused by different facility allocation results.
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