Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications

Feasible Delivery System for Eradicating Ebola

Authors
Cui Wang
Corresponding Author
Cui Wang
Available Online May 2016.
DOI
10.2991/wartia-16.2016.219How to use a DOI?
Keywords
multi-objective optimization, non-linear constrains, delivery network
Abstract

Ebola virus disease is a severe, often-fatal illness and has a case fatality rate up to 90%. Ebola crisis could severely do harm to the economies of Guinea, Liberia and Sierra Leone unless action is taken quickly. In order to eradicate the disease with the shortest time and the least cost, we build a feasible delivery system. We abstract our delivery system into a network, where points is place to store medication and edges is transport lines.This is a multi-objective optimization problem which is related to the demand of the medication and the least cost. Based on the reality,we establish a target equation to minimize expenditure, taking the amount of the medication needed and offered as non-linear constrains. Besides, we define an algorithm to measure the amount of medication distributed in different points and get the amount of the medication to deliver in different two points.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
Series
Advances in Engineering Research
Publication Date
May 2016
ISBN
978-94-6252-195-7
ISSN
2352-5401
DOI
10.2991/wartia-16.2016.219How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Cui Wang
PY  - 2016/05
DA  - 2016/05
TI  - Feasible Delivery System for Eradicating Ebola
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 1032
EP  - 1034
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.219
DO  - 10.2991/wartia-16.2016.219
ID  - Wang2016/05
ER  -