Classification of forecasting methods in production engineering

Winkowski Cezary ()
Additional contact information
Winkowski Cezary: Bialystok University of Technology, BiałystokPoland

Engineering Management in Production and Services, 2019, vol. 11, issue 4, 23-33

Abstract: Business management is a continuous decision-making process. It is difficult to imagine a company that does not use forecasting techniques. Even small enterprises without relevant forecasting departments more or less consciously anticipate future events, forecasting the volume of production and setting directions for development. Today’s production companies must quickly adapt to changing customer requirements, implementing structural and technological changes and delivering projects related to the production of new products. Under the dynamically changing conditions, the functioning and effective management of modern enterprises depend on future-oriented information. This increases the validity of forecasting. This article aimed to identify forecasting methods and areas of their use in production engineering. The publications on this subject were reviewed in the Scopus database, using the time frame from January 1970 to June 2018. An original classification of research subareas was created using VOS viewer software, and then, a bibliometric map was developed to visualise the results of the word coexistence analysis. The analysis of the co-occurrence and co-classification of words made it possible to indicate research subareas of forecasting in production engineering and related emerging research areas and issues.

Keywords: forecasting; forecasting methods; production engineering; manufacturing company (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2478/emj-2019-0030 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrs:ecoman:v:11:y:2019:i:4:p:23-33:n:2

DOI: 10.2478/emj-2019-0030

Access Statistics for this article

Engineering Management in Production and Services is currently edited by Joanna Ejdys

More articles in Engineering Management in Production and Services from Sciendo
Bibliographic data for series maintained by Peter Golla ().