Research On Model Optimization And Algorithm Of Inventory Routing Problem In Fuzzy Environment

With the development of society and the gradual improvement of logistics level,people's demand for supply chain system is getting higher and higher.Reasonable distribution strategy can not only avoid unnecessary cost increase,but also improve the service level of the supply chain.The related strategies of inventory routing problem affect the smooth implementation of vendor-managed inventory model to a great extent.Inventory routing problem can be described as the problem of how to allocate inventory to different retailers and optimize transportation routes in the environment of Vendor Managed inventory.As a study of inventory distribution and transportation routing,this problem is one of the main problems to be solved in the study of how to reduce the total logistics cost.Therefore,focusing on these two kinds of problems,this paper first reviewed and summarized the existing research at home and abroad.Then,on this basis,Using the grading method,the model was constructed,and the corresponding research was carried out from the point of view of inventory distribution and route distribution of the inventory routing problem.Finally,this paper made a comprehensive consideration,coordinates the inventory stage and distribution stage,and constructed an integrated model for further research.As the initial stage of the whole system,the inventory distribution problem is the first core point of the IRP problem.Basically,the supply and demand sides can estimate a rough total cost through the inventory distribution scheme.At the same time,the inventory allocation strategy will directly have a decisive impact on the follow-up routing selection strategy.this paper used a three-level IRP system to model the inventory stage,Then,the corresponding inventory strategy was formulated according to the hierarchical characteristics,the capacity of goods delivered,the proportion of distribution and so on.As a key connecting platform,transportation routing problem is another core point of IRP problem research.In the distribution stage,a more detailed and feasible specific plan can be made according to the relevant strategies of the previous stage,so as to further determine the final total cost of the whole logistics system.In previous studies,it was usually assumed that the vehicle speed is fixed.Therefore,what was considered in this paper was that the driving distance of the vehicle is related to the driving time.Based on the distribution scheme of the inventory stage,this paper extracted the separate layering of the distribution stage in the IRP problem,and then formulated a detailed distribution strategy for each specific route according to the relevant routes within the hierarchy.After studying the sub-problems of inventory and distribution respectively,the paper integrated the two-stage problems.A multi-level inventory routing model was constructed and simulated.As the different demand characteristics and related conditions will lead to more complex IRP problems.Therefore,this paper used fuzzy simulation technology to expect the relevant data.Then,through the comparison of the data of two modeling methods,the reasons for the cost increase were analyzed.Finally,the paper discussed the problem of Trade off that affects the cost of supply chain,and also introduced a series of feasible solutions to deal with it.In this paper,an improved artificial fish swarm algorithm was designed to solve the inventory distribution problem model under the phased method.An improved genetic algorithm is designed to solve the transportation routing problem model under the phased method.A scheme combining artificial fish swarm algorithm and improved genetic algorithm is designed to solve the integrated inventory routing problem model simplified by fuzzy simulation.