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Classification of forecasting methods in production engineering

Cezary Winkowski

Cezary Winkowski

Bialystok University of TechnologyBiałystok, Poland
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Winkowski, Cezary
  
18. Dez. 2019
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Online veröffentlicht: 18. Dez. 2019
Seitenbereich: 23 - 33
Eingereicht: 30. Mai 2019
Akzeptiert: 10. Nov. 2019
DOI: https://doi.org/10.2478/emj-2019-0030
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© 2019 Cezary Winkowski, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Fig. 1

Results of searching the Scopus database — the document type criterion
Results of searching the Scopus database — the document type criterion

Fig. 2

Number of publications in the field of production forecasting in the Scopus database indexed January 1970 to June 2018
Number of publications in the field of production forecasting in the Scopus database indexed January 1970 to June 2018

Fig. 3

Classification of forecasting methods in production engineering
Classification of forecasting methods in production engineering

Research subareas of forecasting in production engineering

CLUSTERGROUP OF METHODSRESEARCH SUBAREASMAIN RESEARCH ISSUES
Aclassical methodsthe possibility of obtain-ing information that objectively reflects the economic situation of an enterprise

• forecasting of the prime cost of production based on the cal culation of the complex influence of production factors on this indicator (Yureneva et al., 2020; Kuladzhi et al., 2017; Trubaev and Tarasyuk, 2017; Mustavaeva, 2007);

• prediction of production volume (Tkachev et al., 2018; Mustavaeva, 2007; Dupré et al., 2020; Artun et al., 2014);

• operational cost management (Barinova and Shikhova, 2016, Yureneva and Barinova, 2016; Shim et al., 2009)

Bartificial intelli- gence methodsadaptive modelling of production processes

• improve management processes (Alva et al. 2020; Tariq et al., 2019; Sarma et al., 2018; Tariq, 2018; Jain et al., 2018);

• predict cycle times of a common operation (Onaran and Yanik, 2020; Gyulai et al., 2020; Okubo et al., 2020; Wang and Jiang, 2019; Susanto et al., 2012; Eraslan, 2009)

Chybrid methodspredictive modelling and probabilistic forecasting• planning of production volume (Elgharbi et al., 2020; Li et al., 2018; Wu et al., 2017)
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Englisch
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Fachgebiete der Zeitschrift:
Wirtschaftswissenschaften, Betriebswirtschaft, Branchen, Transport, Logistik, Luftfahrt, Schifffahrt, Technik, Maschinenbau, Fertigung, Verfahrenstechnik
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