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2024 | OriginalPaper | Buchkapitel

An Overview on Optimisation and Big Data in Supply Chain 4.0

verfasst von : Amirhosseim Fateh, Josefa Mula, Manuel Diaz-Madroñero

Erschienen in: Proceedings of the 17th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXVII Congreso de Ingeniería de Organización (CIO2023)

Verlag: Springer Nature Switzerland

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Abstract

Industry 4.0 is the fourth industrial revolution that refers to the digital transformation of supply chains, operations, factories and customers with the aim of being digitally interconnected. An important aspect of Industry 4.0 is to use all the information that can be extracted from a supply chain to try to optimise all aspects of its operation. This interconnection is coupled with advanced automation driven by technologies, such as robotics, cloud computing, artificial intelligence and big data, in which these technologies are converging to provide digital solutions. This article offers a preliminary literature review of optimisation and big data in supply chain 4.0. A classification of the reviewed literature is presented based on the following criteria: research methodology, modelling approach, software tool, digital technology and problem type. Finally, some future research guidelines are provided.

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Titel: An Overview on Optimisation and Big Data in Supply Chain 4.0
verfasst von: Amirhosseim Fateh
Josefa Mula
Manuel Diaz-Madroñero
Verlag: Springer Nature Switzerland
Buch: Proceedings of the 17th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXVII Congreso de Ingeniería de Organización (CIO2023)
Print ISBN: 978-3-031-57995-0

Electronic ISBN: 978-3-031-57996-7

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-3-031-57996-7_87

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