Demand forecasting in a business based on experts’ opinions – an application of weibull distributions

• Authors: Paweł Dittmann
• Languages of publication: EN

Abstracts

EN

Demand forecasts in a business may be constructed by various methods, e.g. by using Type-I formal models, or by using type-II formal models based on experts’ opinions. The experts can be the business’s managers or persons from outside of the studied business. The experts can not only construct forecasts, but also subjectively specify the probability of them coming true. In this article, the Weibull distribution is described, a distribution that may be applied in the process of constructing product demand forecasts for a business. The methodology for constructing a point forecast is explained, along with the methods for evaluating the chances of the forecast coming true and the methods for judging the probability connected with sales profitability.

Keywords

EN

demand; demand forecasting; experts’ opinions; Weibull distribution applications

• Publisher: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
• Journal: Econometrics. Ekonometria. Advances in Applied Data Analytics
• Year: 2013
• Issue: 1(39)
• Pages: 52-60

Dates

published

2013

Contributors

author

Paweł Dittmann

• Uniwersytet Ekonomiczny we Wrocławiu

References

• Abraham B., Ledolter J. (2005), Statistical Methods for Forecasting, J. Wiley & Sons, New Jersey.
• Analiza systemowa – podstawy i metodologia, W. Findeisen (ed.), PWN, Warszawa 1985.
• Chen H., Hu Y. (1991), How managers can forecast sales of new products, The Journal of Business Forecasting Methods & Systems 10.
• Clements M.P., Hendry D.F. (2002), A Companion to Economic Forecasting, Blackwell Publishers, Oxford.
• Dittmann P. (2006), Subjective probability in forecasting for enterprises, Management, Vol. 10, No 2, pp. 89–96 (University of Zielona Góra, Poland).
• Dittmann P. (2008), Prognozowanie w przedsiębiorstwie. Metody i zastosowanie, Wolters Kluwer Polska, Kraków.
• Dittmann P., Poradowska K. (2007), Expert Forecasting in Company Management, Information Technologies in Economics and Innovative Management, AGH University of Science and Technology Press, Cracow, pp. 146–150.
• Dittmann P., Szabela-Pasierbińska E., Dittmann I., Szpulak A. (2011), Prognozowanie w zarządzaniu sprzedażą i finansami przedsiębiorstwa, Oficyna a Wolters Kluwer business, Warszawa 2100.
• Montgomery D.C., Johnson L.A., Gardiner J.S. (1990), Forecasting and Time Series Analysis, McGraw--Hill, New York.
• Pardoe L. (2006), Applied Regression Modeling, J. Wiley & Sons, New Jersey.