Measuring the metallurgical supply chain resilience using fuzzy analytic network process
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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Croatian Metallurgical Society
2016-10-01
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| Series: | Metalurgija |
| Subjects: | |
| Online Access: | http://hrcak.srce.hr/file/232042 |
| Summary: | 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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| ISSN: | 0543-5846 1334-2576 |