Preliminary communication

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

Abstract

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.

Keywords

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

Hrčak ID:

157453

URI

https://hrcak.srce.hr/157453

Publication date:

1.10.2016.

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