| Through the analysis of the enterprise environment and social environment of the logistics industry,further analysis of the characteristics of dynamic demand in the shared logistics network.The paper clarifies the importance and necessity of the enterprise distribution network location and dynamic vehicle route optimization for the long-term development of the enterprise under the integrated reverse logistics environment.Therefore,based on the current situation of logistics industry,this paper studies facility location and vehicle routing problem in shared logistics network considering forward and reverse logistics.Firstly,this paper analyzes the shared logistics and facility location theory.From the analysis of the shared logistics theory,we can understand clearly the theoretical background of this research.Through the analysis of the shared logistics,the content of vehicle routing problem is defined clearly.At the same time,from the analysis the concept,classification and principle,the constraints and objectives of facility location is defined as well.Secondly,this paper analyzes the basic algorithm principle and the characteristic of problem,and determines the multi-objective solving strategy.On this basis,aiming at the complexity of the problem,designing a multi-objective immune genetic algorithm based on particle swarm optimization evolutionary strategy.The purpose is to ensure the search performance of the algorithm and improve the efficiency of evolutionary convergence.Then,this paper describes the types and necessity of integrating reverse logistics,and further determines that the object of this paper is simultaneous distribution and recycling.On this basis,the main body and characteristics of the system are analyzed.The dynamic,periodic,multi-level characteristics of the facility site selection process are defined,and the corresponding treatment measures are constructed.At the same time,the meaning,characteristics and uncertain dynamic factors of dynamic open-loop vehicle routing problem integrating reverse logistics are analyzed clearly.Finally,a multi-level and multi-cycle facility location model and a dynamic open-loop vehicle routing optimization model integrating reverse logistics are constructed.According to the characteristics of different models,different coding mechanisms are designed.In the part of facility location,multi-level coding mechanism is adopted to increase the convenience and evolution speed of the algorithm.By comparing the improved algorithm with the traditional algorithm,the feasibility and effectiveness of the model and algorithm are proved,and the corresponding management enlightenment is summarized. |
