Modeling the Dynamics of the Production Process in the Conditions of Uncertainty with the Use of the Calculus of Variations

Modeling the Dynamics of the Production Process in the Conditions of Uncertainty with the Use of the Calculus of Variations

The article examines the possibility of applying elements of the calculus of variations to determine the quasi-optimum distribution of production at the time in terms of stochastic. The discussion concerns the problems of modeling the distribution of production in a situation where we are dealing wi...

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Bibliographic Details
Main Author: Grzesiak Stefan
Format: Article
Language:English
Published: Sciendo 2016-12-01
Series:Folia Oeconomica Stetinensia
Subjects:
calculus of variations
stochastic modeling
distribution of production at the time
c44
Online Access:https://doi.org/10.1515/foli-2016-0014
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spelling doaj-8ea644a5eab747ca958cbf9579d98dd22021-09-05T20:45:01ZengSciendoFolia Oeconomica Stetinensia1898-01982016-12-0116122223110.1515/foli-2016-0014foli-2016-0014Modeling the Dynamics of the Production Process in the Conditions of Uncertainty with the Use of the Calculus of VariationsGrzesiak Stefan0University of Szczecin, Faculty of Economics and Management, Department of Operations Research and Applied Mathematics in Economics, Mickiewicza 64, 71-101 Szczecin, PolandThe article examines the possibility of applying elements of the calculus of variations to determine the quasi-optimum distribution of production at the time in terms of stochastic. The discussion concerns the problems of modeling the distribution of production in a situation where we are dealing with a single product. Then, it has been generalized to a larger number of simultaneously produced ranges. In summary, it was the topic of the proposed methods possibilities of applications in practice firms.https://doi.org/10.1515/foli-2016-0014calculus of variationsstochastic modelingdistribution of production at the timec44
collection DOAJ
language English
format Article
sources DOAJ
author Grzesiak Stefan
spellingShingle Grzesiak Stefan
Modeling the Dynamics of the Production Process in the Conditions of Uncertainty with the Use of the Calculus of Variations
Folia Oeconomica Stetinensia
calculus of variations
stochastic modeling
distribution of production at the time
c44
author_facet Grzesiak Stefan
author_sort Grzesiak Stefan
title Modeling the Dynamics of the Production Process in the Conditions of Uncertainty with the Use of the Calculus of Variations
title_short Modeling the Dynamics of the Production Process in the Conditions of Uncertainty with the Use of the Calculus of Variations
title_full Modeling the Dynamics of the Production Process in the Conditions of Uncertainty with the Use of the Calculus of Variations
title_fullStr Modeling the Dynamics of the Production Process in the Conditions of Uncertainty with the Use of the Calculus of Variations
title_full_unstemmed Modeling the Dynamics of the Production Process in the Conditions of Uncertainty with the Use of the Calculus of Variations
title_sort modeling the dynamics of the production process in the conditions of uncertainty with the use of the calculus of variations
publisher Sciendo
series Folia Oeconomica Stetinensia
issn 1898-0198
publishDate 2016-12-01
description The article examines the possibility of applying elements of the calculus of variations to determine the quasi-optimum distribution of production at the time in terms of stochastic. The discussion concerns the problems of modeling the distribution of production in a situation where we are dealing with a single product. Then, it has been generalized to a larger number of simultaneously produced ranges. In summary, it was the topic of the proposed methods possibilities of applications in practice firms.
topic calculus of variations
stochastic modeling
distribution of production at the time
c44
url https://doi.org/10.1515/foli-2016-0014
work_keys_str_mv AT grzesiakstefan modelingthedynamicsoftheproductionprocessintheconditionsofuncertaintywiththeuseofthecalculusofvariations
_version_ 1717784656168878080

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