TY  - BOOK
AU  - Rahimi,Iman
AU  - Gandomi,Amir Hossein
AU  - Fong,Simon
AU  - Ülkü,Muhammed Ali
TI  - Big data analytics in supply chain management: theory and applications 
SN  - 9780367816384
AV  - HD38.5 
U1  - 658.70285/57 23
PY  - 2021///
CY  - Boca Raton
PB  - CRC Press
KW  - Business logistics
KW  - Big data
KW  - COMPUTERS / Database Management / Data Mining
KW  - bisacsh
KW  - TECHNOLOGY / Manufacturing
KW  - TECHNOLOGY / Operations Research
N2  - "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 Business and Engineering students, scholars, and professionals, this book is a collection of the state-of-the-art research and best practices to spur discussion about and extend the cumulant knowledge on emerging supply chain problems"--
UR  - https://www.taylorfrancis.com/books/9780367816384
UR  - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
ER  -