A Research On Reclaimed Material’s Inventory Management Of FC Company For After-sales Service

In the21st century, competition is becoming harder and harder in every market. Consumers’demand is not only for the tangible products, but also for the after-sales service. So, more and more enterprises have turned the competition focus to the after-sales service. Customers’requirement is becoming higher and higher and enterprises have tried to meet customer’s changing and inaccuracy demand, which necessarily caused a higher inventory. Inventory management has become an increasingly important aspect of modern enterprise management, perfect inventory management can help enterprise reduce the cost, also can improve the satisfaction of customers, and increase the competitiveness and earning capability of enterprises. This research focuses on the reclaimed material’s inventory management of FC Company for after-sales service and mainly solves two problems which cause the high reclaimed material inventory—customer’s changing and inaccuracy demand and long repaired term of default reclaimed material. By optimizing the reclaimed materials’inventory management of FC Company for after-sales service, this research help FC Company reduce the cost, and maintain high level satisfaction of customers, and increase the earning capability. Based on deeply analyzing the situation of reclaimed materials inventory management of the FC Company for after-sales service, this thesis predicts the long term demand forecast by rolling time frame model, and on the basis of the improved demand prediction, we apply various inventory management strategies into the reclaimed materials’ inventory management. In the meantime, by the theory of inventory management in the Supply Chain Management environmental science, we carry out the VMI Model in FC Company. By drawing into inventory optimization scheme this thesis researched for reclaimed materials inventory management of FC Company, three indexes of inventory management (inventory turnover days, the dead stock ratio and bad inventory ratio) have improved20%, these effectively enhance the level of inventory management and decrease sharply inventory management cost. The demand predicting methods and VMI scheme researched in this thesis could be used as reference to other seasonal demand enterprises for solving their demand predicting and inventory management optimization.