Measuring the metallurgical supply chain resilience using fuzzy analytic network process
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F16%3A86100285" target="_blank" >RIV/61989100:27360/16:86100285 - isvavai.cz</a>
Alternative codes found
RIV/29142890:_____/16:N0000043 RIV/61989100:27510/16:86100285
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Measuring the metallurgical supply chain resilience using fuzzy analytic network process
Original language description
The article presents a methodology for measuring the metallurgical supply chain resilience, which enables the ascertainment of key resilience capabilities and measurable criteria, and determining a level of the resilience. The methodology is based on Analytic Network Process (ANP), which is used to solve the complex decision-making problems, whose structures can be mapped as non-linear networks. Since ambiguous pairwise comparisons expressed by fuzzy sets are considered, the Fuzzy Analytic Network Process (FANP) is applied. The methodology is verified on the generalised model of a metallurgical supply chain. The SuperDecisions software was used for the application. The experiments performed demonstrate the high level of suitability of the FANP approach for measuring metallurgical supply chain resilience. © 2016, Faculty of Metallurgy. All Rights Reserved.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
50204 - Business and management
Result continuities
Project
<a href="/en/project/GA16-01298S" target="_blank" >GA16-01298S: Dynamic Decision-making of a Steel Producer under Emission Control</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Metalurgija
ISSN
0543-5846
e-ISSN
—
Volume of the periodical
55
Issue of the periodical within the volume
4
Country of publishing house
HR - CROATIA
Number of pages
4
Pages from-to
783-786
UT code for WoS article
000376167100054
EID of the result in the Scopus database
2-s2.0-84966312361