Epidemic-logistics Modeling: A New Perspective on Operations Research

This book is the first work to conduct the emergency logistics optimization problem under the epidemic environment (whether natural or man-made), which provides a new perspective for the application of optimization theory. In this book, the research methods involve epidemic dynamics, scenario-based emergency decision-making method, big data which combines the traditional and emerging technologies. The authors take epidemic outbreak as the research object and deeply integrate the epidemic spread model with the optimization model of emergency resource scheduling, which opens up a novel application area of operations research. 

This book is the first work to conduct the emergency logistics optimization problem under the epidemic environment (whether natural or man-made), which provides a new perspective for the application of optimization theory. In this book, the research methods involve epidemic dynamics, scenario-based emergency decision-making method, big data which combines the traditional and emerging technologies. The authors take epidemic outbreak as the research object and deeply integrate the epidemic spread model with the optimization model of emergency resource scheduling, which opens up a novel application area of operations research. 

Chapter 1. Basic concept of epidemic-logistics.- Chapter 2. Epidemic dynamics modeling and analysis.- Chapter 3. Mixed distribution mode for emergency resources in anti-bioterrorism system.- Chapter 4. Epidemic logistics with demand information updating Model I: Medical resource is enough.- Chapter 5. Epidemic logistics with demand information updating Model II: Medical resource is limited.- Chapter 6. Integrated optimization model for two-level epidemic-logistics network.- Chapter 7. Integrated optimization model for three-level epidemic-logistics network.- Chapter 8. A novel FPEA model for medical resources allocation in an epidemic control.- Chapter 9. Integrated planning for public health emergencies: A modified model for controlling H1N1 pandemic.- Chapter 10. Logistics planning for hospital pharmacy trusteeship under a hybrid of uncertainties.- Chapter 11. Medical resources order and shipment in community health service centers.- Chapter 12. Three short time-space network modelsfor medicine management.- Chapter 13. Epidemic-logistics network considering time windows and service level.