Details
Title | Advances in logistics, operations, and management science (ALOMS) book series. — Demand forecasting and order planning in supply chains and humanitarian logistics |
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Other creators | Taghipour Atour |
Collection | Электронные книги зарубежных издательств ; Общая коллекция |
Subjects | Business logistics. ; Demand (Economic theory) ; Business forecasting. ; EBSCO eBooks |
Document type | Other |
File type | |
Language | English |
Rights | Доступ по паролю из сети Интернет (чтение, печать, копирование) |
Record key | on1142931954 |
Record create date | 2/25/2020 |
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Group | Anonymous |
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Network | Internet |
"This book focuses on demand anticipation, forecasting, and order planning as well as humanitarian logistics to propose original solutions for existing problems"--.
Network | User group | Action |
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ILC SPbPU Local Network | All |
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Internet | Authorized users SPbPU |
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Internet | Anonymous |
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- 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