Modeling Metallurgical Supply Chain Resilience using Markov Process

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F19%3A10244607" target="_blank" >RIV/61989100:27360/19:10244607 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/29142890:_____/19:00036534

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Modeling Metallurgical Supply Chain Resilience using Markov Process

Popis výsledku v původním jazyce

Metallurgical supply chain consists of raw materials miners, transport, integrated metallurgical enterprise, service centers and local distributors. The overall performance of the supply chain which is subject to disruption from the environment is dependent on performance of its links and its ability to recovery after such event or resilience, respectively. As it is possible to estimate mean time between failures and mean time to recovery for each supply chain link, the whole process can be modeled as a stochastic process using Markov process. This article aims in setting assumptions for a model, creating a model of metallurgical supply chain in the context of supply chain resilience using Markov process which would allow to asses resilience using overall supply chain performance as an indicator.

Název v anglickém jazyce

Modeling Metallurgical Supply Chain Resilience using Markov Process

Popis výsledku anglicky

Metallurgical supply chain consists of raw materials miners, transport, integrated metallurgical enterprise, service centers and local distributors. The overall performance of the supply chain which is subject to disruption from the environment is dependent on performance of its links and its ability to recovery after such event or resilience, respectively. As it is possible to estimate mean time between failures and mean time to recovery for each supply chain link, the whole process can be modeled as a stochastic process using Markov process. This article aims in setting assumptions for a model, creating a model of metallurgical supply chain in the context of supply chain resilience using Markov process which would allow to asses resilience using overall supply chain performance as an indicator.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50204 - Business and management

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

METAL 2019 : conference proceedings : peer reviewed : 28th International Conference on Metallurgy and Materials : May 22nd-24th 2019, Hotel Voronez I, Brno, Czech Republic, EU

ISBN

978-80-87294-92-5

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

1798-1803

Název nakladatele

Tanger

Místo vydání

Ostrava

Místo konání akce

Brno

Datum konání akce

22. 5. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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