"This book focuses on demand anticipation, forecasting, and order planning as well as humanitarian logistics to propose original solutions for existing problems"--.

• Cover
• Title Page
• Copyright Page
• Book Series
• Editorial Advisory Board
• Table of Contents
• Detailed Table of Contents
• Foreword
• Preface
• Acknowledgment
• Chapter 1: Exploring a Downstream Demand Inference Strategy in a Decentralized Two-Level Supply Chain
• Chapter 2: Designing Valid Humanitarian Logistics Scenario Sets
• Chapter 3: Demands and Sales Forecasting for Retailers by Analyzing Google Trends and Historical Data
• Chapter 4: A Cluster First-Route Second Solution Approach for the Multi-Period Home Healthcare Routing and Scheduling Problem
• Chapter 5: Demand Forecasting in Supply Chain Management Using Different Deep Learning Methods
• Chapter 6: Logistics Providers in Syria Humanitarian Operations
• Chapter 7: A Memetic Algorithm for Integrated Production Distribution Problem in a Supply Chain
• Chapter 8: Mixed Delivery and Pickup Vehicle Routing Problem With Limited Flow and Assignment of Drones in an Urban Network
• Chapter 9: Forecasting Sales and Return Products for Retail Corporations and Bridging Among Them
• Compilation of References
• About the Contributors
• Index