In this paper we tried to establish a cost effective inventory management system for a furniture manufacturing company after considering a real case study. The proposed forecasting method can produce optimum solutions for inventory in terms of reduced ordering cost and holding cost. The calculated EOQ and MRP for different components identified effective cost saving for forecasting process.
For further studies, adequate optimization techniques can be useful with probabilistic forecasting methods.