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2018 | OriginalPaper | Chapter

Big Data Analytics for Supply Chain Management

Authors : Mariam Moufaddal, Asmaa Benghabrit, Imane Bouhaddou

Published in: Innovations in Smart Cities and Applications

Publisher: Springer International Publishing

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Abstract

All our daily digital actions generate data at an alarming velocity, volume and variety. To extract meaningful value from big data, we need optimal processing power, analytics capabilities and skills. Nowadays, big data solutions are widely applied in different types of organizations. Such solutions bring multiple benefits in managing supply chains. The aim of this paper is to give an overview of big data analytic techniques used in supply chain management based on the latest version of the SCOR model.

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Metadata
Title
Big Data Analytics for Supply Chain Management
Authors
Mariam Moufaddal
Asmaa Benghabrit
Imane Bouhaddou
Copyright Year
2018
Book
Innovations in Smart Cities and Applications

Print ISBN: 978-3-319-74499-5

Electronic ISBN: 978-3-319-74500-8

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-74500-8_87

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