Research On Supply Chain Inventory Optimization Of Recyclable Packaging Leasing Enterprises In Sharing Economy

Supply chain inventory optimization control is an important research content in the field of supply chain planning.With the in-depth development of supply chain management theory and practice,some enterprises above designated size in China have paid enough attention to the application of this advanced management theory and method,and the level of enterprise management has also improved significantly.However,in management practice,there are still many The problem needs to be studied and solved,such as supply chain network inventory optimization control.This paper takes the big environment of sharing economic development as the research background,and takes the problem of packaging equipment inventory planning of recyclable packaging leasing enterprises as the research object.On the basis of establishing two kinds of demand forecasting models,it optimizes the supply chain inventory problems of this kind of enterprises.Research,this has important theoretical and practical significance for improving the service level of enterprises,improving the efficiency of enterprise inventory resources utilization,and reducing the inventory management cost of enterprises.This paper firstly divides the customers of this type of enterprise into two categories according to the actual operation of the recyclable packaging equipment rental enterprise: small-scale scattered customers and long-term large-scale cooperative customers.For the small-scale scattered customers,the utility function demand forecasting method based on Multi-logit model is established.Based on the forecasting model,the estimation method architecture is constructed,and the intelligent algorithm is designed to carry out multi-stage inventory for recyclable packaging leasing enterprises.Optimization,and verified by practical examples;for the large-scale cooperative leasing customer leasing characteristics,using Markov decision method and dynamic programming method,the demand forecasting model based on Markov model and dynamic programming method is established.In this paper,the multi-stage inventory optimization control model of this kind of customer is established,and the super heuristic algorithm based on offline learning is designed and verified by practical examples.The main conclusions of this paper are as follows:(1)For small-scale scattered customer inventory control of recyclable packaging equipment leasing enterprises,the example verification shows that the utility function demand forecasting method based on Multi-logit model and its corresponding estimation method architecture and model It is possible to optimize the supply chain network inventory of recyclable packaging leasing enterprises,which can be used as reference for the inventory management control of similar enterprises;(2)for large-scale cooperative leasing customer inventory control,the example verification shows that this paper establishes The demand forecasting method based on Markov model and dynamic programming method and its multi-stage inventory optimization control model can optimize the supply chain network inventory of recyclable packaging leasing enterprises,which can be used as reference for inventory management control of similar enterprises.(3)The algorithm of the research model is based on the super-heuristic algorithm of offline learning.The instance set is divided into training instance and instance to be solved,which effectively avoids the problem of special case phenomenon in the abstract unit period.Ensure the accuracy of the model calculation results,calculate Verification showed that the algorithm designed in this paper is effective,high solution efficiency.