Inventory Management And Improvement Research Of A Garment Company

With the development of globalization, a large number of apparel brands have entered the Chinese market, with the fierce competition in apparel industry, and the uncertainty and volatility demand in apparel products, huge inventory is easier appeared. In this environment, improve the level of product demand forecast, optimize inventory management, and reduce inventory costs become an effective means for enterprises to enhance market competitiveness.In this paper, we study the demand forecasting and inventory control method of A company.Paper reviews the literature related to demand forecasting and inventory management, and concerned about the inventory status of the apparel industry. According to the actual situation of A company, and detailed study the issues it is facing, we found there are some problems of demand forecasting and inventory control: e.g. inaccurate products forecasts, difficulty of measuring demand, low levels of inventory management and ignorance of inventory replenishment. Base on the problems of A company, use the method of demand forecasting and control theory, put forward the solution of demand forecasting and inventory control of A company.According to the products demand characteristics of A company, classified the products of A company, with method of forecasting and inventory control. Using exponential smoothing to predict demand and EOQ model to control inventory, according to the products demand characteristics of A company. Using grey prediction model to predict its demand for the uncertain demand of new products, and after the products enter the market, rank dynamic programming model is used to determine the order quantities and best replenishment of fashion products. In this paper, the results of research on improving inventory management of A company, for the future of A company, improved demand forecasting, replenishment control, and the company’s inventory management level, it has a certain practical significance.