A Study On Optimizing Inventory Of Hot-products In Cross-border E-comerce Company F Under OAO Mode

Nowadays,the development of cross-border e-commerce is moving towards the new scene mode(such as Online-and-Offline mode,i.e.OAO mode),which is more emphasis on consumer experience.Meanwhile,the uncertain demand affects the logistics,information flow and capital flow of the supply chain management,and thus affects the efficiency of the enterprise.Among them,the inventory control is one of the most important means to improve the profit margins of the enterprise.For the moment,OAO mode makes online and offline dual store integration but inventory is not synchronized which will affect the benefit of enterprises.Therefore,it is necessary to meet the uncertain demands of consumers,but also control the inventory level to remain within a reasonable and economic range.For cross-border e-commerce industry,this is a problem they have to face.Based on such background,the thesis focus on hot-products of cross-border e-commerce company F under the OAO mode.It can be found that because of its large and uncertain demand and high profit,the hot-products almost played a decisive role on turnover of the company F and had influenced on the operating costs and benefits.Therefore,the hot-products inventory is an important problem for cross-border e-commerce company F.This thesis will use the inventory theory model of operational research as the theoretical basis,and select three types of hot-products A,B and C under the OAO mode of cross-border e-commerce company F as the research objects to carry out inventory optimization strategy.Based on the uncertain demand of consumers under the OAO mode,build the market state forecasting model of company F first.Then,combined with the inventory theory model,the mathematical model is established by optimizing the expected inventory cost,the customer service level and the lead time.Using R language RStudio software to simulate the model and obtain the following conclusions:(1)the market state forecasting model could help company F to predict the market state of commodities,including overstocked and out of stock;(2)by solving the inventory control model,the periodic check(t,s,S)inventory strategy is an optimal strategy;(3)while the customer service level a increased from 0.95 to 0.99,the inventory cost will increase,thus suggest that company F find a reasonable balance between improve customer service levels and reduce inventory costs;(4)through the simulation of two-stage inventory system found that shorten the lead time appropriately can effectively reduce the inventory level.This thesis provides a more scientific solution to solve the inventory management problem of company F,which is in order to optimize the inventory management of hot-products based on OAO mode in cross-border e-commerce company F.