Measuring the metallurgical supply chain resilience using fuzzy analytic network process
Wicher, Pavel; Zapletal, František; Lenort, Radim; Staš, David
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.
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