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Epidemic-logistics modeling : a new perspective on operations research / Ming Liu, Jie Cao, Jing Liang, MingJun Chen.

Liu, Ming, author.; Cao, Jie, author.; Liang, Jing, author.; Chen, MingJun, author.
2020
RA652.2.M3
Available Online
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Title
Epidemic-logistics modeling : a new perspective on operations research / Ming Liu, Jie Cao, Jing Liang, MingJun Chen.
Author
Liu, Ming, author.
ISBN
9789811393532 (electronic book)
9811393532 (electronic book)
9789811393525
DOI
https://doi.org/10.1007/978-981-13-9353-2
https://doi.org/10.1007/978-981-13-9
Published
Singapore : Springer, 2020.
Language
English
Description
1 online resource (xvi, 287 pages) : illustrations
Item Number
10.1007/978-981-13-9353-2 doi
10.1007/978-981-13-9
Call Number
RA652.2.M3
Dewey Decimal Classification
614.401/5118
Summary
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.
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Includes bibliographical references.
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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed October 9, 2019).
Added Author
Cao, Jie, author.
Liang, Jing, author.
Chen, MingJun, author.
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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 models for medicine management
Chapter 13. Epidemic-logistics network considering time windows and service level.

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