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

Year 2018, Volume: 22 Issue: 5, 1482 - 1492, 01.10.2018

Seher Arslankaya , Vildan Öz

https://doi.org/10.16984/saufenbilder.456518

Cited By: 6

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.

Keywords

automotive industry, regression analysis, demand forecast, artificial neural networks

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