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Measuring the metallurgical supply chain resilience using fuzzy analytic network process

P. Wicher ; VŠB – Technical University of Ostrava, Czech Republic
F. Zapletal ; VŠB – Technical University of Ostrava, Czech Republic
R. Lenort ; VŠB – Technical University of Ostrava, Czech Republic
D. Staš ; ŠKODA AUTO University, Czech Republic

Puni tekst: engleski, pdf (228 KB) str. 783-786 preuzimanja: 369* citiraj
APA 6th Edition
Wicher, P., Zapletal, F., Lenort, R. i Staš, D. (2016). Measuring the metallurgical supply chain resilience using fuzzy analytic network process. Metalurgija, 55 (4), 783-786. Preuzeto s https://hrcak.srce.hr/157453
MLA 8th Edition
Wicher, P., et al. "Measuring the metallurgical supply chain resilience using fuzzy analytic network process." Metalurgija, vol. 55, br. 4, 2016, str. 783-786. https://hrcak.srce.hr/157453. Citirano 05.12.2019.
Chicago 17th Edition
Wicher, P., F. Zapletal, R. Lenort i D. Staš. "Measuring the metallurgical supply chain resilience using fuzzy analytic network process." Metalurgija 55, br. 4 (2016): 783-786. https://hrcak.srce.hr/157453
Harvard
Wicher, P., et al. (2016). 'Measuring the metallurgical supply chain resilience using fuzzy analytic network process', Metalurgija, 55(4), str. 783-786. Preuzeto s: https://hrcak.srce.hr/157453 (Datum pristupa: 05.12.2019.)
Vancouver
Wicher P, Zapletal F, Lenort R, Staš D. Measuring the metallurgical supply chain resilience using fuzzy analytic network process. Metalurgija [Internet]. 2016 [pristupljeno 05.12.2019.];55(4):783-786. Dostupno na: https://hrcak.srce.hr/157453
IEEE
P. Wicher, F. Zapletal, R. Lenort i D. Staš, "Measuring the metallurgical supply chain resilience using fuzzy analytic network process", Metalurgija, vol.55, br. 4, str. 783-786, 2016. [Online]. Dostupno na: https://hrcak.srce.hr/157453. [Citirano: 05.12.2019.]

Sažetak
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.

Ključne riječi
metallurgy; methodology; supply chain resilience; Analytic Network Process; fuzzy sets

Hrčak ID: 157453

URI
https://hrcak.srce.hr/157453

Posjeta: 500 *