The most common type of disruption in the supply chain : evaluation based on the method using artificial neural networks
Augustyn Lorenc, Małgorzata Kuźnar
| Year of publication: |
2021
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| Authors: | Lorenc, Augustyn ; Kuźnar, Małgorzata |
| Published in: |
International journal of shipping and transport logistics : IJSTL. - Genéve [u.a.] : Inderscience Enterprises, ISSN 1756-6525, ZDB-ID 2541397-1. - Vol. 13.2021, 1/2, p. 1-24
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| Subject: | intermodal transport | supply chain disruption | supply chain resilience | cargo parameters monitoring | risk appearance in transport chain | intermodal transport risk | cargo theft | numerical modelling | performance analysis | Lieferkette | Supply chain | Risikomanagement | Risk management | Intermodaler Verkehr | Intermodal transport | Neuronale Netze | Neural networks | Störungsmanagement | Disruption management | Logistikunternehmen | Logistics provider | Performance-Messung | Performance measurement | Güterverkehr | Freight transport |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1504/IJSTL.2021.112910 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012522852