Research On Inventory And Transportation Cost Optimization Of Rural Electronic Products Reverse Logistics Based On O2O Mode

In today’s Internet era,with the progress of science and technology,the renewal frequency of electronic products is gradually accelerating,the life cycle is increasingly shortened,and the number of waste electronic products is also greatly increased.Reverse logistics,which aims to improve resource utilization and reduce environmental pollution,has been highly valued by the country and society.In recent years,relevant policies and laws have been issued to promote the development of reverse logistics.Nevertheless,compared with foreign countries,the research on reverse logistics in our country is still in the stage of introduction and reference,the theoretical research is relatively one-sided,and many fields have not been deeply explored.At present,the research on recycling logistics in reverse logistics is mostly aimed at developed areas such as cities,while the research on recycling logistics in rural areas is still relatively scarce.The reason is that in rural areas,the supporting facilities,technical means,and residents’ awareness of recycling are relatively backward.In addition,the high cost of implementing reverse logistics makes most small and medium-sized enterprises more than willing to undertake the recycling work in rural areas.these series of reasons have also led to a serious lag in the implementation of reverse logistics in rural areas.Therefore,reducing reverse logistics cost is the key to the smooth development of reverse logistics in rural areas.Based on relevant research theories at home and abroad,and combined with Internet technology,this article explores the advantages of O2O-based recycling models in reducing reverse logistics costs,and analyzes the composition of reverse logistics cost.And then,aiming at the warehousing costs and the transportation costs of reverse logistics,this article constructs a dual source inventory control model and a batch recovery model by region respectively.In the dual-source inventory control model,the inventory control strategies of different types of enterprises in the case of out of stock are discussed,the optimal purchase batch and optimal recovery batch in a recovery cycle are calculated to minimize the unit inventory cost.In the batch recovery model by region,considering the realistic constraints of the distribution of recovery stations in rural areas,the K-means algorithm is used to divide the recycling areas,and the transportation cost is optimized on the basis of planning the shortest recovery path of each area,and the number of divided areas and vehicles that minimize the total transportation cost are determined.In the last,it summarizes the main contents and shortcomings of this paper,and looks forward to the research direction of reverse logistics in the future.