Demand forecasting in chemical industry

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25310%2F18%3A39913136" target="_blank" >RIV/00216275:25310/18:39913136 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.15199/62.2018.8.5" target="_blank" >http://dx.doi.org/10.15199/62.2018.8.5</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.15199/62.2018.8.5" target="_blank" >10.15199/62.2018.8.5</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Demand forecasting in chemical industry

Popis výsledku v původním jazyce

Demand forecasting is one of the key business processes, but its effective management in the chemical industry has not been sufficiently resolved. That is why the given area became the subject of primary quantitative research in Czech chemical companies. The aim was to find out what factors influencing demand are taken into account, what sources of information are used as inputs and what methods are used in forecasting. It was found that businesses most often consider the product price, its modification, and the seasonality of sales. Therefore, they use historical sales as the main input data, but they do not process these data with an adequate statistical forecasting method. The predominant forecasting method is Sales Force Composite. Improvements in demand forecasting in chemical industry enterprises should therefore focus on wider use of sophisticated statistical methods to make forecasts more accurate.

Název v anglickém jazyce

Demand forecasting in chemical industry

Popis výsledku anglicky

Demand forecasting is one of the key business processes, but its effective management in the chemical industry has not been sufficiently resolved. That is why the given area became the subject of primary quantitative research in Czech chemical companies. The aim was to find out what factors influencing demand are taken into account, what sources of information are used as inputs and what methods are used in forecasting. It was found that businesses most often consider the product price, its modification, and the seasonality of sales. Therefore, they use historical sales as the main input data, but they do not process these data with an adequate statistical forecasting method. The predominant forecasting method is Sales Force Composite. Improvements in demand forecasting in chemical industry enterprises should therefore focus on wider use of sophisticated statistical methods to make forecasts more accurate.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50204 - Business and management

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Przemysl chemiczny

ISSN

0033-2496

e-ISSN

—

Svazek periodika

97

Číslo periodika v rámci svazku

8

Stát vydavatele periodika

PL - Polská republika

Počet stran výsledku

4

Strana od-do

1259-1262

Kód UT WoS článku

000449309100010

EID výsledku v databázi Scopus

2-s2.0-85063337185