Epidemic-logistics modeling : a new perspective on operations research /

Epidemic-logistics modeling : a new perspective on operations research /

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Bibliographic Details
Author / Creator:	Liu, Ming, author.
Imprint:	Singapore : Springer, 2020.
Description:	1 online resource (xvi, 287 pages) : illustrations (some color)
Language:	English
Subject:	Epidemiology -- Mathematical models. Operations research. Epidemiologic Methods. Epidemiology -- Mathematical models. Operations research.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12602193

Hidden Bibliographic Details
Other authors / contributors:	Cao, Jie, author. Liang, Jing, author. Chen, MingJun, author.
ISBN:	9789811393532 9811393532 9811393524 9789811393525 9789811393525
Digital file characteristics:	text file PDF
Notes:	Includes bibliographical references. Online resource; title from PDF title page (SpringerLink, viewed October 9, 2019).
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.
Other form:	Printed edition: 9789811393525 Printed edition: 9789811393549 Printed edition: 9789811393556
Standard no.:	10.1007/978-981-13-9353-2 10.1007/978-981-13-9

Description
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. <br>
Physical Description:	1 online resource (xvi, 287 pages) : illustrations (some color)
Bibliography:	Includes bibliographical references.
ISBN:	9789811393532 9811393532 9811393524 9789811393525