Table | Card | RUSMARC | |
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Group: Anonymous Network: Internet |
Annotation
"This book focuses on demand anticipation, forecasting, and order planning as well as humanitarian logistics to propose original solutions for existing problems"--.
Document access rights
Network | User group | Action | ||||
---|---|---|---|---|---|---|
ILC SPbPU Local Network | All | |||||
Internet | Authorized users SPbPU | |||||
Internet | Anonymous |
Table of Contents
- 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
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