The Evaluation of Forecasting Method for Enteral and Formula Food Supply to Support Inventory Management System Hospital

Hospital is one of the public facilities that can support human health. Hospital quality system is the main thing to consider in order providing satisfaction to the customers, especially in terms of logistics, not only medicine but also foods which always have a direct contact with the patients. Inventory management system in supply chain management is one factor to control the quality of the food. This research aim is to select the appropriate method in demand forecasting to determine the number of products purchased for use and stored in the warehouse. The results showed the nutrition installation department should use simple exponential smoothing (SES) method for Anlene, Ensure FOS, Hepatosol and Peptamen product, while the product Pediasure and Neosure should use the moving average method, because the error was less significant and the method was really fit, according to product demand compared to the other forecasting methods. This research is not only using time series for demand forecasting, but also tries to apply the calculation of average inventory value. It uses for inventory management system to improve the warehouse system of nutrition installation department effectively and efficiently. The calculation is using periodic review method, yielding an average inventory value is much smaller than the current situation.