A hybrid Z-number data envelopment analysis and neural network for assessment of supply chain resilience : a case study
Reza Yazdanparast, Reza Tavakkoli-Moghaddam, Razieh Heidari, Leyla Aliabadi
| Year of publication: |
2021
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|---|---|
| Authors: | Yazdanparast, Reza ; Tavakkoli-Moghaddam, Reza ; Heidari, Razieh ; Aliabadi, Leyla |
| Published in: |
Central European journal of operations research. - Heidelberg : Physica-Verl., ISSN 1613-9178, ZDB-ID 2093829-9. - Vol. 29.2021, 2, p. 611-631
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| Subject: | Supply chain resilience | Vulnerability | Z-numbers data envelopment analysis | Neural network | Automotive supply chain | Lieferkette | Supply chain | Data-Envelopment-Analyse | Data envelopment analysis | Neuronale Netze | Neural networks | Risikomanagement | Risk management | Kfz-Industrie | Automotive industry |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s10100-018-0596-x [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012542994