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
This hardback is available in another edition too:
- Paperback£45.99(9780367686284)
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