Big Data Analytics in Supply Chain Management

Big Data Analytics in Supply Chain Management

Theory and Applications

Fong, Simon James; UElkue, M. Ali; Gandomi, Amir H.; Rahimi, Iman

Taylor & Francis Ltd

10/2024

194

Mole

9780367686284

Pré-lançamento - envio 15 a 20 dias após a sua edição

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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 Focuses on Disaster Response

Chapter 10. Closing the Big Data Talent Gap
Big Data Analytics;Big Data;Operations Management;Supply Chain;BDA;Data Sets;SCM;CS;Risk Management;Cuckoo Search Algorithm;Manufacturing;Supply Chain Analytics;Big Data Specialists;Supply chain management;Financial transactions;SBM;Logistics processes;Big Data Resources;IoT Device;SBM Model;DEA Model;Return Policy;MCDM Approach;Cocitation Analyses;Banker Charnes Cooper Model;Big Data Initiatives;IoT Technology;Co-citation Analysis;Data Set;Scientometric Analysis;IoT Sensor;Host Bird