Big Data Analytics in Supply Chain Management Theory and Applications

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Synopsis

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.

Book details

Author:
Iman Rahimi, Amir H. Gandomi, Simon James Fong, and M. Ali Ülkü
ISBN:
9781000326932
Related ISBNs:
9780367407179, 9781000326918, 9780367816384, 9781000326925
Publisher:
CRC Press
Pages:
194
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2024-04-15
Usage restrictions:
Copyright
Copyright date:
2021
Copyright by:
Taylor & Francis Group, LLC 
Adult content:
No
Language:
English
Categories:
Computers and Internet, Nonfiction, Technology