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

Authors : Seher ARSLANKAYA, Vildan ÖZ

Pages : 1482-1492

Doi:10.16984/saufenbilder.456518

View : 23 | Download : 14

Publication Date : 2018-10-01

Article Type : Research Paper

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 insert ignore into journalissuearticles values(RA); and time series are compared with the estimation results made with artificial neural networks.
Keywords : automotive industry, regression analysis, demand forecast, artificial neural networks