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Epidemic-logistics modelinga new per...

Liu, Ming.

Epidemic-logistics modelinga new perspective on operations research /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Epidemic-logistics modelingby Ming Liu .. [et al.].
其他題名:	a new perspective on operations research /
其他作者:	Liu, Ming.
出版者:	Singapore :Springer Singapore :2020.
面頁冊數:	xvi, 287 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	EpidemiologyMathematical models.
電子資源:	https://doi.org/10.1007/978-981-13-9353-2
ISBN:	9789811393532$q(electronic bk.)

Epidemic-logistics modelinga new perspective on operations research /
Epidemic-logistics modelinga new perspective on operations research /[electronic resource] :by Ming Liu .. [et al.]. - Singapore :Springer Singapore :2020. - xvi, 287 p. :ill. (some col.), digital ;24 cm.

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.

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.

ISBN: 9789811393532$q(electronic bk.)

Standard No.: 10.1007/978-981-13-9353-2doiSubjects--Topical Terms:

183833
Epidemiology
--Mathematical models.

LC Class. No.: RA652.2.M3

Dewey Class. No.: 614.4015118

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505 0 $a 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.
520 $a 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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