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Prethodno priopćenje
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 | citiraj | |
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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 18.02.2020. 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: 18.02.2020.) Vancouver Wicher P, Zapletal F, Lenort R, Staš D. Measuring the metallurgical supply chain resilience using fuzzy analytic network process. Metalurgija [Internet]. 2016 [pristupljeno 18.02.2020.];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: 18.02.2020.] |
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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
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