Development of Big Data Analytics in a Multi-site Enterprise on the Example of Supply Chain Management - Artificial Intelligence for Knowledge Management 8th IFIP WG 12.6 International Workshop, AI4KM 2021 Access content directly
Conference Papers Year : 2021

Development of Big Data Analytics in a Multi-site Enterprise on the Example of Supply Chain Management

Paweł Pyda
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Paweł Stefaniak
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Bartosz Jachnik
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Abstract

Currently, advanced data analytics in large multi-site industrial enterprises is a strategic element in making management decisions. Integrated supply chain management (SCM), machinery park management, or data analysis from industrial devices (including using Industrial Internet of Things - IIoT) requires the organization of appropriate analytical platform architecture, the selection of the analytical tools for Big Data, the implementation of advanced algorithms based on machine learning and the development of management dashboards for ongoing tracking the KPI’s of assets. This article presents the issues related to the acquisition, analysis, and management of large amounts of data from various enterprise departments. These data come from multiple systems, and they are indifferent data recording standards. They are essential because they form the basis of advanced data analysis in supply chain management in multi-site enterprises. This article discusses the proposal of an analytical platform for SCM and the development of analytical processing for SCM in the multi-site industrial enterprise.
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hal-04041346 , version 1 (22-03-2023)

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Paweł Pyda, Paweł Stefaniak, Helena Dudycz, Bartosz Jachnik. Development of Big Data Analytics in a Multi-site Enterprise on the Example of Supply Chain Management. 8th IFIP International Workshop on Artificial Intelligence for Knowledge Management (AI4KM), Jan 2021, Yokohama, Japan. pp.177-192, ⟨10.1007/978-3-030-80847-1_12⟩. ⟨hal-04041346⟩
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