Measuring the metallurgical supply chain resilience using fuzzy analytic network process

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/29142890:_____/16:N0000043 RIV/61989100:27510/16:86100285

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Measuring the metallurgical supply chain resilience using fuzzy analytic network process

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Measuring the metallurgical supply chain resilience using fuzzy analytic network process

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

50204 - Business and management

Projekt

<a href="/cs/project/GA16-01298S" target="_blank" >GA16-01298S: Dynamické rozhodování ocelářského podniku obchodujícího s emisemi</a><br>

Návaznosti

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

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

Metalurgija

ISSN

0543-5846

e-ISSN

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Svazek periodika

55

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

HR - Chorvatská republika

Počet stran výsledku

4

Strana od-do

783-786

Kód UT WoS článku

000376167100054

EID výsledku v databázi Scopus

2-s2.0-84966312361