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Titlebook: Epidemic-logistics Modeling: A New Perspective on Operations Research; Ming Liu,Jie Cao,MingJun Chen Book 2020 Science Press and Springer

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发表于 2025-3-21 18:08:06 | 显示全部楼层 |阅读模式
书目名称Epidemic-logistics Modeling: A New Perspective on Operations Research
编辑Ming Liu,Jie Cao,MingJun Chen
视频video
概述The first book in epidemic logistics optimization.Includes more than 10 optimization models and examples, not just descriptive analysis.Provides several constructive suggestions for managing the limit
图书封面Titlebook: Epidemic-logistics Modeling: A New Perspective on Operations Research;  Ming Liu,Jie Cao,MingJun Chen Book 2020 Science Press and Springer
描述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. .
出版日期Book 2020
关键词Epidemic outbreak; emergency response; emergency logistics; optimization; optimization models; Emergency
版次1
doihttps://doi.org/10.1007/978-981-13-9353-2
isbn_softcover978-981-13-9355-6
isbn_ebook978-981-13-9353-2
copyrightScience Press and Springer Nature Singapore Pte Ltd. 2020
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Mixed Distribution Mode for Emergency Resources in Anti-bioterrorism System,ed-collaborative mode is designed. A genetic algorithm is adopted to solve the optimization model. To verify the validity and the feasibility of the mixed-collaborative mode, we compare it with these two pure distribution modes from both aspects of total distance and timeliness.
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发表于 2025-3-23 06:56:34 | 显示全部楼层
Book 2020emergency 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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