z-logo
open-access-imgOpen Access
Demand forecasting process evaluation: Multiple cases studies at 15 companies in Brazil
Author(s) -
Julia Dal Forno Ana,
Buss da Silva Priscila,
Gabriel de Miranda Rodrigo,
C. Antonio,
Antonio Forcellini Fernando
Publication year - 2014
Publication title -
african journal of business management
Language(s) - English
Resource type - Journals
ISSN - 1993-8233
DOI - 10.5897/ajbm2013.7185
Subject(s) - demand forecasting , product (mathematics) , process (computing) , identification (biology) , operations research , computer science , order (exchange) , business , process management , marketing , operations management , economics , finance , engineering , mathematics , botany , geometry , biology , operating system
The purpose of this article is to evaluate what practices of the demand forecasting process are adopted by companies. The methodology used was multiple case studies. The identification of the practices was conducted by sending a questionnaire with 20 questions to 15 large companies in southern Brazil. The practices were divided into four dimensions of the analysis: functional integration, application, systems and forecasting errors. The results demonstrate that of the 20 practices analyzed, only 35% of them had a satisfactory performance. Because it is a diagnostics tool, the managers can constantly verify the strong points and opportunities for improvement referring to the demand forecasting process. The method allows measuring the four dimensions in a simple manner; evaluating if the demand forecast is conducted with computers; if the administration of the process is conducted in a collaborative manner; if different company areas defined the forecast in conjunction; if the concerns of each department are considered; if awards are granted in the forecasting process; if the forecast is used in a strategic manner by the company, as in the definition of goals; if priorities are established by product for realizing more precise forecasts; the qualitative and quantitative techniques used; if there is training for the staff involved in the forecasting; if there is a connection with the company’s other information systems; if the forecasts are publicized within the company; if the error is evaluated and if there are problems caused by forecasting errors and other factors. Key words: Brazilian companies, demand forecasting, practices, multiple case studies.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom