The most common type of disruption in the supply chain : evaluation based on the method using artificial neural networks
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 |
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