Time Series Analysis of Sales Quantity In An Automotive Company and Estimation By Artificial Neural Networks

Abstract

The automotive sector is an indicator sector that sheds light on the economies of the countries. Demand forecasting in such an important sector, as it is in every sector, is an important work topic. Two important problems of a real production environment are uncertain demand and unbalanced production times. These two parameters affect the semi-finished and finished product inventory levels which lead to an increase in the total cost of the production system. Demand forecasting is the estimation of how much consumers and services they will demand in the future with the aid of variables. In this study, automotive sector, one of the most important sectors of today, has been estimated demand of sales quantities. Estimation results with Regression Analysis (RA) and time series are compared with the estimation results made with artificial neural networks.