Big Data Analytics in Supply Chain Management
Big Data Analytics in Supply Chain Management
Theory and Applications
Fong, Simon James; Gandomi, Amir H.; Rahimi, Iman; UElkue, M. Ali
Taylor & Francis Ltd
10/2024
194
Mole
9780367686284
15 a 20 dias
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
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