Wszystkie pola: Dittmann, Paweł - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Demand forecasting in a business based on experts’ opinions – an application of weibull distributions
Autorzy:: Dittmann, Paweł
Powiązania:: https://bibliotekanauki.pl/articles/424785.pdf
Data publikacji:: 2013
Wydawca:: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:: demand
demand forecasting
experts’ opinions
Weibull distribution applications
Opis:: 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.
Źródło:: Econometrics. Ekonometria. Advances in Applied Data Analytics; 2013, 1(39); 52-60
1507-3866
Pojawia się w:: Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Demand forecasting in an enterprise – the forecasted variable selection problem
Autorzy:: Dittmann, Paweł
Sobolewski, Adam Michał
Powiązania:: https://bibliotekanauki.pl/articles/425024.pdf
Data publikacji:: 2013
Wydawca:: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:: demand
demand forecasting
operational measures of demand
Opis:: Forecasting process efficiency depends – to a large extent – on the correct determination of the forecasted variable. Therefore, companies should use for sales forecasting, the variables that reflect actual consumer demand. However in practice, since demand is usually not directly observable, many operational measures of demand are used. In the manufacturing and retail enterprises, the most often used variables are historical orders, shipments, and billed sales volumes. The purpose of this paper is to characterise the effects of using as the predicted variable, different operational measures of consumer demand. Theoretical discussion is illustrated by an attempt to estimate errors in demand forecasts for Avon Cosmetics’ products that are related to changes in data used for forecasting.
Źródło:: Econometrics. Ekonometria. Advances in Applied Data Analytics; 2013, 1(39); 61-70
1507-3866
Pojawia się w:: Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:: Biblioteka Nauki

Artykuł

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