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(Ebook PDF) Big Data Analytics in Supply Chain Management Theory and Applications 1st edition by Iman Rahimi, Amir Gandomi, Simon James Fong, Ali ÃœlkÃ¼ 1000326934 9781000326932 full chapters

Name: (Ebook PDF) Big Data Analytics in Supply Chain Management Theory and Applications 1st edition by Iman Rahimi, Amir Gandomi, Simon James Fong, Ali ÃœlkÃ¼ 1000326934 9781000326932 full chapters
SKU: EB-21912
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Authors:Iman Rahimi , Series:Management [948] , Author sort:Rahimi, Iman , Languages:Languages:eng , Published:Published:Nov 2020 , Publisher:CRC Press , Comments:Comments:This book discusses the results of a recent large-scale achievement on Big Data Analytics (BDA) topics among Supply Chain Management (SCM) professionals The book intends to show a diversity of supply chain management issues that may benefit from BDA, both in theory and practice.

SKU: EB-21912 Category: eBook PDF Tags: Ali ÃœlkÃ¼, Amir Gandomi, Analytics, Applications, Big Data, Iman Rahimi, Simon James Fong, Supply Chain, Theory

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Big Data Analytics in Supply Chain Management Theory and Applications 1st edition by Iman Rahimi, Amir H. Gandomi, Simon James Fong, M. Ali Ülkü – Ebook PDF Instant Download/DeliveryISBN: 1000326934, 9781000326932

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ISBN-10 : 1000326934

ISBN-13 : 9781000326932

Author: Iman Rahimi, Amir H. Gandomi, Simon James Fong, M. Ali Ülkü

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.

Big Data Analytics in Supply Chain Management Theory and Applications 1st Table of contents:

Chapter 1 Big Data Analytics in Supply Chain Management: A Scientometric Analysis

Chapter 2 Supply Chain Analytics Technology for Big Data

Chapter 3 Prioritizing the Barriers and Challenges of Big Data Analytics in Logistics and Supply Chain Management Using MCDM Method

Chapter 4 Big Data in Procurement 4.0: Critical Success Factors and Solutions

Chapter 5 Recommendation Model Based on Expiry Date of Product Using Big Data Analytics

Chapter 6 Comparing Company’s Performance to Its Peers: A Data Envelopment Approach

Chapter 7 Sustainability, Big Data, and Consumer Behavior: A Supply Chain Framework

Chapter 8 A Soft Computing Techniques Application of an Inventory Model in Solving Two-Warehouses Using Cuckoo Search Algorithm

Chapter 9 An Overview of the Internet of Things Technologies Focusing on Disaster Response

Chapter 10 Closing the Big Data Talent Gap

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