Study Of Profit Distribution Optimization Of The Two-echelon Facility Multi-center Joint Distribution Network

With the rapid development of online shopping platforms and the continuous improvement of residents' consumption level,the role of urban logistics and distribution in the economic and social development of cities is becoming increasingly significant.In addition,in recent years,with the rapid growth of the urban population,logistics distribution demand has been characterized by timeliness and diversity,which has increased the complexity of the logistics distribution network.However,the uneven distribution of cooperation profit among logistics distribution enterprises makes it difficult for multi-center joint distribution network to form effective cooperative alliances,which increases the overall operating cost of urban logistics distribution systems.How to realize the rational dispatch and resource sharing of the urban logistics distribution system,thereby reducing the cost of logistics distribution,improving distribution service level,strengthening effective cooperation between logistics facilities,improving the utilization rate of logistics resources,and promoting the sustainable development of urban logistics distribution systems,have become important issues for the construction of current urban logistics distribution systems and the development of smart logistics transportation.Therefore,this thesis has a great theoretical significance and practical application value to study the optimization of profit distribution of two-echelon facility multi-center joint distribution network.The two-echelon facility multi-center joint distribution network is the basis for studying the multi-level multi-center joint distribution network in the urban logistics system.To this end,this article studies the profit distribution optimization and cooperative alliance problems of the urban logistics distribution network from the perspective of the two-echelon multi-center joint distribution network optimization.Theoretical and technical support for the construction of urban logistics distribution systems and the operation of smart logistics transportation systems are provided through step-by-step deeply research on multi-center joint distribution network optimization considering time window assignment,the optimization of two-echelon facility multi-center joint distribution network,profit distribution optimization of two-echelon facility multi-center joint distribution network,and discussion on specific optimization process of the two-echelon facility multi-center common distribution network.The main research contents of this article are introduced as follows:(1)Multi-center joint distribution network optimization problem considering time window assignment is the primary problem of this paper.Aiming at the problems of fixed customer service time window,low distribution efficiency,and severe cross-distribution in the traditional logistics distribution model,a logistics operation mode that considers the multi-center joint distribution of time window assignment is proposed.This model reassigns the service time window for the customer who has a higher penalty cost for violating the time window to re-optimize the multi-center joint distribution routes,thereby achieving collaborative sharing of logistics resources and cross-regional joint distribution.First,a bi-objective optimization model is established with the objective of the minimum multi-center joint distribution logistics cost and the minimum number of distribution vehicles considering the time window assignment,where the multi-center distribution logistics cost includes transportation costs between multiple centers,distribution costs,vehicle maintenance costs,time windows assignment cost and time window penalty cost,etc.Then,a hybrid non-dominated sorting genetic algorithm-II based on a combination of three-dimensional customer clustering algorithm,CW saving algorithm and non-dominated sorting genetic algorithm(NSGA-II)was designed to solve the model.Finally,in order to further verify the effectiveness of the model and algorithm proposed in this paper,an example data calculation and comparison with other intelligent algorithms are carried out.The results show that the proposed model and algorithm are effective and can be used to study the large-scale logistics distribution network optimization with time window assignment.(2)Based on the research of multi-center joint distribution network optimization considering time window assignment,this paper studies the two-echelon facility multi-center joint distribution network optimization problem.Based on the perspective of considering both the economic and environmental impacts of logistics distribution,fully considering the delivery vehicle's carbon emission factor,a multi-center cooperative strategy between logistics facilities is proposed,and the two-echelon facility multi-center joint distribution network optimization problem is studied in order to realize the green and efficient development of urban logistics distribution.First of all,a bi-objective mathematical programming model is established with the minimum objectives of total cost and vehicle carbon emissions during the two echelon multi-center joint delivery process,and under the constraints of vehicle loading,maximum transportation distance,storage capacity of the distribution center,etc.Then,an improved non-dominated sorting genetic algorithm-II based on K-means clustering algorithm was designed.In the proposed algorithm,the node scanning algorithm,partial mapping crossover and exchange mutation operations were integrated,which increased the population diversity and further improved the local and global search capabilities of the algorithm and improves the ability to find the optimal space.Finally,combined with the example data,the study of the two-echelon facility multi-center joint distribution network optimization calculation was carried out,and compared with the multi-objective genetic algorithm(MOGA)and NSGA-II algorithm to verify the validity of the model and algorithm proposed in this paper.(3)Based on the research of the two-echelon facility multi-center joint distribution network optimization,this paper studies the two-echelon facility multi-center joint distribution network profit distribution optimization,and the two-echelon facility multi-center joint distribution network cooperation sequence selection and alliance stability analysis.Firstly,based on the two-echelon facility multi-center joint distribution network optimization results,the MCRS method was used to conduct profit distribution optimization for the two-echelon facility multi-center joint distribution network.Secondly,a calculation method for the profit increase percentage is proposed to analyze the stability of the alliance.And based on a strict monotonic path principle,the appropriate two-echelon facility multi-center joint distribution network cooperative alliance sequences are chosen.Moreover,the optimal cooperative alliance sequence is selected based on the diagonal rule.Finally,a method for evaluating the stability of the alliance based on snowball theory is proposed.The effects of different profit distribution schemes on the stability of the alliance are compared to verify the stability and validity of the profit distribution method proposed in this paper.