Clustering Algorithm; Performance; Wireless LAN Channel Assignment

Thumbnail Image
File(s)
Author(s)
Other Contributor(s)
University of the Thai Chamber of Commerce. Research Support Office
Publisher(s)
University of the Thai Chamber of Commerce
Date Issued
2011
Resource Type
Text::Conference output::Conference proceedings::Conference paper
Language
eng
Abstract
This paper present the decision support system in logistics inbound and transportation system with application of Geographic Information System (GIS) to analyse the Cassava Service Centres (CSC) location in order to collect cassava roots location andoptimized the number and location suitability of CSC. The methodology used Kmean clustering and application of Geographic Information System with spatial and attribute data, and network analyst extension to find, compared and minimize optimization with cost for investment and transportation distance solution of their scenarios. The results had show the optimization number of location of CSC must be 20 nodes, investment cost for CSC location was reduced to 9.8 million baht, and distance was136,176.58 kilometres, that results had reduce to 49.5 and 13.3 percent, respectively.
Subject(s)
Keywords(s)
Conference
Access Rights
public
Rights
This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
Rights Holder
University of the Thai Chamber of Commerce
Bibliographic Citation
R. Tangkitjaroenmongkol, S. Kaittisin, S. Ongwattanakul (2011) Clustering Algorithm; Performance; Wireless LAN Channel Assignment., 204-209.
URI