Demand forecasting in an automobile supply chain using time series model

Abstract

In today’s uncertain environment forecasting of demand is one of the vigorous tasks for enlightening actions of the supply chain. Inappropriate demand forecasting increases the total cost of the supply chain. Some of the issues can be resolved with the proper demand forecasting mechanism. In this paper, authors have attempted to forecast the sales data of automobile manufacturing firm using use moving average method (MA) and Autoregressive-moving-average method (ARMA) of time series models.