Author： Meng Lingpeng Ma Qin Han Chuanfeng Wu Qidi
Publisher： Inderscience Publishers
ISSN： 1752-5055
Source： International Journal of Computing Science and Mathematics, Vol.4, Iss.3, 2013-10, pp. : 242-251
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
Classical facility location models like the maximum covering location model implicitly assume that the number of facilities is given exogenously. However, the tremendous magnitude and low frequency of large-scale emergencies make it difficult to apply the above assumption simply. This paper developed a greedy clustering method aiming to identify suitable number of large-scale emergency facilities, taking into account of the distinct attributes of each demand area and the required response quality. An illustrative example is given to show the effectiveness and efficiency of the proposed method.
Related content
International Journal of Public Administration in the Digital Age (IJPADA), Vol. 3, Iss. 3, 2016-07 ,pp. :
Access to resources
Recommend
Large-scale assembly system for printers
Assembly Automation, Vol. 5, Iss. 3, 1993-12 ,pp. :
Facility location for large-scale emergencies
Annals of Operations Research, Vol. 181, Iss. 1, 2010-12 ,pp. :
Large-scale distance learning initiatives
By Vines Diane
Campus-Wide Information Systems, Vol. 15, Iss. 4, 1998-04 ,pp. :