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Big Data Analytics in Supply Chain Management

Theory and Applications

Simon James Fong editor Amir H Gandomi editor Iman Rahimi editor M Ali Ülkü editor

Format:Hardback

Publisher:Taylor & Francis Ltd

Published:21st Dec '20

Currently unavailable, and unfortunately no date known when it will be back

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Big Data Analytics in Supply Chain Management cover

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.

ISBN: 9780367407179

Dimensions: unknown

Weight: 548g

194 pages