Strategic Supply Chain Risk Management Artificial Intelligence and Big Data to Support Strategic Supply Chain Risk Management

被引：0
|
作者：
Kramer, Kathrin Julia [1 ]
Mousavi, Danial [1 ]
Schmidt, Matthias [1 ]
机构：
[1] Leuphana Universität Lüneburg Institut für Produkt- und Prozessinnovation (PPI), Universitätsallee 1, Lüneburg,21335, Germany
来源：
ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb | 2022年 / 117卷 / 05期
关键词：
Big data - Data Analytics - Machine learning - Supply chain management - Supply chains;
D O I：
10.1515/zwf-2022-1055
中图分类号：
学科分类号：
摘要：
Complexity and uncertainty along supply chains can be made more manageable through data-driven processes. Artificial intelligence (AI) methods in particular can be used to analyse large amounts of data from companies. As a result, a strategic supply chain risk management can be set up to monitor various sources of risk. In this context, this article provides a systematic overview of the possible applications of AI methods. © 2022 Walter de Gruyter GmbH, Berlin/Boston, Germany.
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页码：349 / 353
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