Modeling Metallurgical Supply Chain Resilience using Markov Process

Result code in 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>
Alternative codes found
RIV/29142890:_____/19:00036534
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Modeling Metallurgical Supply Chain Resilience using Markov Process
Original language description
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.
Czech name
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Czech description
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Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
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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Number of pages
6
Pages from-to
1798-1803
Publisher name
Tanger
Place of publication
Ostrava
Event location
Brno
Event date
May 22, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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