Big Data Analytics in Supply Chain Management - Theory and Applications (Hardcover)

In a world of soaring digitization, social media, financial transactions, and production and logistics processes constantly produce massive data. Employing analytical tools to extract insights and foresights from data improves the quality, speed, and reliability of solutions to highly intertwined issues faced in supply chain operations. From procurement in Industry 4.0 to sustainable consumption behavior to curriculum development for data scientists, this book offers a wide array of techniques and theories of Big Data Analytics applied to Supply Chain Management. It offers a comprehensive overview and forms a new synthesis by bringing together seemingly divergent fields of research. Intended for Engineering and Business students, scholars, and professionals, this book is a collection of state-of-the-art research and best practices to spur discussion about and extend the cumulant knowledge of emerging supply chain problems.

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Release date:	December 2020
First published:	2021
Editors:	Iman Rahimi • Amir H Gandomi • Simon James Fong • M. Ali UElku
Dimensions:	234 x 156 x 20mm (L x W x T)
Format:	Hardcover
Pages:	194
ISBN-13:	978-0-367-40717-9
Categories:	Books > Computing & IT > General theory of computing > General Books > Computing & IT > Applications of computing > General Promotions
LSN:	0-367-40717-5
Barcode:	9780367407179

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