ITM Web Conf.
Volume 17, 20184th Annual International Conference on Wireless Communication and Sensor Network (WCSN 2017)
|Number of page(s)||7|
|Section||Session 3: Smart City in Resource Management, Ecological and Environmental Data Processing|
|Published online||02 February 2018|
The research on collaborative optimization of emergency human resource allocation
School of Management Science and Engineering, Central University of Finance and Economics, Beijing
* Corresponding author: firstname.lastname@example.org
On aglobal scale, the occurrence of different types of emergencies has had a tremendous impact on the economies and people's lives. The optimization of emergency human resource allocation is increasingly important. This paper gives full consideration to the control targets of each fire rescue points and the demands of both demand points and potential demand points. We build an emergency human resource allocation model and optimize it through the collaborative optimization. This paper finally carried on the case analysis to verify the feasibility of the model. The model better simulates the reality and can be referred by some government officials in some emergency cases.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.