Big Data Analytics in Supply Chain Management: Theory and ApplicationsКНИГИ » ОС И БД
Название: Big Data Analytics in Supply Chain Management: Theory and Applications Автор: Edited by Iman Rahimi, Amir H. Gandomi, Simon James Fong, and M. Ali Ulku Издательство: CRC Press Год: 2021 Страниц: 211 Размер: 10.58 МБ Формат: PDF Язык: English
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.
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Big Data Analytics in Supply Chain Management: Theory and Applications 
