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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https://doi.org/10.1007/978-3-540-75833-4ioterror attack. In what follows, we focus on how to deliver emergency resources to the epidemic areas. We find that both the pure point-to-point delivery mode and the pure multi-depot, multiple traveling salesmen delivery system are difficult to operate in an actual emergency situation. Thus, we pr

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https://doi.org/10.1007/978-3-319-46729-0ng mechanism for dynamic demand of medical resource based on an epidemic diffusion model and a multi-stage programming model for optimal allocation and transport of such resource. In this chapter, we present a discrete time-space network model for allocating medical resource following an epidemic ou

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Organizing the Strategy Planning System,ces based on a susceptible-exposed-infected-recovered (SEIR) influenza diffusion model. In this forecasting mechanism, medical resources allocated in the early period will take effect in subduing the spread of influenza and thus impact the demand in the later period. We adopt a discrete time-space n

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Michael Seltz Kristensen,Wendy H. L. Teoh.] proposed a new epidemics-logistics model to control the 2014 Ebola outbreak in West Africa. Considering that different diseases have dissimilar diffusion dynamics and can cause different public health emergencies, we modify the proposed model by changing capacity constraint, and then apply it to

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Goblet Cells: Physiology and Pharmacology,th stochastic variables. Flow dependent variable costs, random demand and random service time are featured in our models in addressing economies of scale and uncertainties in a real-world medical logistics problem. Effective computational schemes are designed, and an evaluation method is proposed to

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