Publication: Inbound logistics cassava starch planning: With application of GIS and K-means clustering methods in Thailand
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Issued Date
2011-07-21
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2-s2.0-79960415057
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Mahidol University
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SCOPUS
Bibliographic Citation
Proceedings of the 2011 8th International Joint Conference on Computer Science and Software Engineering, JCSSE 2011. (2011), 204-209
Suggested Citation
Rattanasit Tangkitjaroenmongkol, Supapom Kaittisin, Songpol Ongwattanakul Inbound logistics cassava starch planning: With application of GIS and K-means clustering methods in Thailand. Proceedings of the 2011 8th International Joint Conference on Computer Science and Software Engineering, JCSSE 2011. (2011), 204-209. doi:10.1109/JCSSE.2011.5930121 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/11786
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Title
Inbound logistics cassava starch planning: With application of GIS and K-means clustering methods in Thailand
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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 and optimized the number and location suitability of CSC. The methodology used K-mean 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 was 136,176.58 kilometres, that results had reduce to 49.5 and 13.3 percent, respectively. © 2011 IEEE.