2004 2nd International IEEE Conference on 'Intelligent Systems'. Proceedings (IEEE Cat. No.04EX791)
DOI: 10.1109/is.2004.1344684
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Quality of service ensuring in urban solid waste management

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Cited by 11 publications
(10 citation statements)
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“…The transfer of waste directly from pushcarts to trucks by meeting at a specified time and place called synchronization points is suggested by (Karadimas, 2004), which is a suitable option for the door to door collection method.…”
Section: Transfer and Transportmentioning
confidence: 99%
“…The transfer of waste directly from pushcarts to trucks by meeting at a specified time and place called synchronization points is suggested by (Karadimas, 2004), which is a suitable option for the door to door collection method.…”
Section: Transfer and Transportmentioning
confidence: 99%
“…As presented in the table, the most widespread use of GIS on SWM lies in the areas of site selection for landfill, trash bin and transfer stations (Chang and Lin, 1997;Kao, 1996;Kao and Lin, 2002;Lotfi et al, 2007;Sener et al, 2011;Tralhão et al, 2010;Vijay et al, 2008) and routing and scheduling optimization based on historical or predicted data (Fan et al, 2010;Ghose et al, 2006;Jovičić et al, 2010;Kanchanabhan et al, 2011;Ozkan et al, 2006;Tavares et al, 2009). Others applications of GIS in SWM includes waste generation estimation by using socioeconomic data and local demographic (Ahmed et al, 2006;Karadimas and Loumos, 2008;Marah and Novotny, 2011), local management planning (Hrebicek and Soukopova, 2010;Macdonald, 1996), integrated SWM establishment (Karadimas et al, 2004;Tao, 2010) …”
Section: Geographical Information System (Gis)mentioning
confidence: 99%
“…Site selection for safe application to compost animal waste (Kao and Lin, 2002) Transfer station's location selection GIS analysis with customized model for shortest service Selection of appropriate location for the placement of waste pickup stations (Karadimas et al, 2004) Integrated SWM establishment GIS with fleet depot tracking using spatiotemporal analysis SWM framework creation to calculate total cost and feasible alternative (Karadimas et al, 2005) Waste generation estimation GIS based spatial analysis with clustering Identification of the ideal number and placement of location for the trash bins (Ghose et al, 2006) Routing and scheduling GIS based network analysis with ant colony system Waste collection route optimization and collection scheduling (Ahmed et al, 2006) Waste generation estimation GIS based spatial analysis Relocation and identification of the ideal number of trash bins (Ozkan et al, 2006) Route optimization GIS based network analysis Solid waste collection route optimization (Karadimas et al, 2006) Waste generation estimation GIS with fuzzy logic Estimation of the amount of solid waste productivity (Lotfi et al, 2007) Site selection GIS based analysis with fuzzy logic Solid waste landfill site selection (Vijay et al, 2008) Trash bin's location selection GIS based spatial analysis with p-median constrained model…”
Section: Referencesmentioning
confidence: 99%
“…The degree of people living in urban zones has extended from 17. 35% (1951) to 31.2% (2011) (Karadimas et al, 2004;Census, 2011;Yogeshwar, 2012). The quick and consistent advancement in urban masses prompts an enthusiastic augmentation in urban solid wastage, with a genuine monetary and biological impact.…”
Section: Introductionmentioning
confidence: 99%