Management Of Risks And Uncertainties Of Business Processes By Means Of Stochastic Approaches

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F25720384%3A_____%2F21%3AN0000003" target="_blank" >RIV/25720384:_____/21:N0000003 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61384399:31810/21:00057279 RIV/61384399:31130/21:00057279

Výsledek na webu

<a href="https://msed.vse.cz/msed_2021/article/551-Spacek-Miroslav-paper.pdf" target="_blank" >https://msed.vse.cz/msed_2021/article/551-Spacek-Miroslav-paper.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Management Of Risks And Uncertainties Of Business Processes By Means Of Stochastic Approaches

Popis výsledku v původním jazyce

The purpose of the paper is to present an advanced approach to the analysis and management of risks and uncertainties of business processes within a framework of Industry 4.0. Risks and uncertainties are meaningful factors that are closely tied with company business processes. Unless treated properly they may both hamper company financial performance and shake company competitive position. The effectiveness and validity of managerial decision-making are thus weakened. The goal of this paper is to develop and demonstrate the functionality of SW based decision-making tool that significantly enhances the quality of managerial decision-making. The solution uses stochastic simulation of key process risks represented by risk factors by means of the replacement of their deterministic values by probability distributions. The prerequisite for successful application of this approach is the possibility of development of mathematical model describing direct relationships between independent and dependent variables. Theoretical framework for the development of simulation software comes out of Business Model Canvas (BMC) which provides illustrative lay-out of processes that are instrumental in company management. The software development applied Business Process Modelling Notation Approach (BPMN) that is popular among programmers and fully suits the purpose. The software was validated on examples of selected business processes.

Název v anglickém jazyce

Management Of Risks And Uncertainties Of Business Processes By Means Of Stochastic Approaches

Popis výsledku anglicky

The purpose of the paper is to present an advanced approach to the analysis and management of risks and uncertainties of business processes within a framework of Industry 4.0. Risks and uncertainties are meaningful factors that are closely tied with company business processes. Unless treated properly they may both hamper company financial performance and shake company competitive position. The effectiveness and validity of managerial decision-making are thus weakened. The goal of this paper is to develop and demonstrate the functionality of SW based decision-making tool that significantly enhances the quality of managerial decision-making. The solution uses stochastic simulation of key process risks represented by risk factors by means of the replacement of their deterministic values by probability distributions. The prerequisite for successful application of this approach is the possibility of development of mathematical model describing direct relationships between independent and dependent variables. Theoretical framework for the development of simulation software comes out of Business Model Canvas (BMC) which provides illustrative lay-out of processes that are instrumental in company management. The software development applied Business Process Modelling Notation Approach (BPMN) that is popular among programmers and fully suits the purpose. The software was validated on examples of selected business processes.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50204 - Business and management

Projekt

<a href="/cs/project/FV30110" target="_blank" >FV30110: Nástroje pro inovaci a optimalizaci výkonnosti firemních procesů v rámci Průmyslu 4.0</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název statě ve sborníku

The 15th International Days of Statistics and Economics

ISBN

978-80-87990-25-4

ISSN

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e-ISSN

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Počet stran výsledku

11

Strana od-do

1083–1093

Název nakladatele

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Místo vydání

Praha

Místo konání akce

Praha

Datum konání akce

9. 9. 2021

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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