Title :
Forecast production volume: A case study
Author :
Girardi, G. ; Camargo, Maria Emilia
Author_Institution :
Undergrad. Program of Bus. Adm., UCS, Brazil
Abstract :
This paper intends to use the forecast of the necessities in order to plan for the future needs of the clients and thus, help the gestors in the decision making process. In the business world, the planning attached to the needs, enables the optimization of the resources involved in the productive operation whenever seeking more competitivity of the company where the market is. Based on the data of the production volume for three product for the period of January 2002 to December 2006, we used the ARIMA model combined with qualitative methods as a way of projecting under time. We sought and chose an efficient method of forecasting in order to improve the accuracy of the results within an acceptable cost in the textile company where the study was developed. After the application of the method of forecasting the need in the textile sector of manufacturing of cloth, the results were evaluated with the application of the proposed methodology comparing to the qualitative technique of forecasting used nowadays in the planning of the company.
Keywords :
autoregressive moving average processes; decision making; forecasting theory; optimisation; production planning; productivity; textile industry; textiles; ARIMA model; autocorrelation function; business world; cloth manufacturing; company competitiveness; company planning; decision making process; production volume forecast; productivity; resources optimization; textile company; Autocorrelation; Autoregressive processes; Business; Companies; Demand forecasting; Economic forecasting; Nonlinear filters; Predictive models; Production; Textiles; ARIMA Model; Autocorrelation Function; Competitivity; Forecast Production; Textile Company;
Conference_Titel :
Computers & Industrial Engineering, 2009. CIE 2009. International Conference on
Conference_Location :
Troyes
Print_ISBN :
978-1-4244-4135-8
Electronic_ISBN :
978-1-4244-4136-5
DOI :
10.1109/ICCIE.2009.5223501