• DocumentCode
    2660214
  • Title

    Agent based model for solid waste management and policy simulating analysis

  • Author

    Guihong, Bi ; Hua, Wang ; Qiang, Li ; Yan, Hou

  • Author_Institution
    Fac. of Electr. Power Eng., Kunming Univ. of Sci. & Technol., Kunming
  • fYear
    2008
  • fDate
    16-18 July 2008
  • Firstpage
    768
  • Lastpage
    773
  • Abstract
    Solid waste management system is a complex, dynamic and open system, which has different elements including waste disposal technologies, economics and society and their interactions. In order to study this complex system, an agent based model for solid waste management was developed. Agent based solid waste management and Agents in the system were designed in class diagram, collaboration diagram and sequence diagram by UML. The behavior of household separation, solid waste disposal effect and solid waste management cost and profit were simulated under different policy scenarios. The results show that the model described the dynamics between household waste disposal activities and solid waste management policies. Different scenario experiments show the model is feasible and effective for evaluating solid waste management policies.
  • Keywords
    Unified Modeling Language; government policies; socio-economic effects; waste disposal; UML; agent based model; class diagram; collaboration diagram; complex system; dynamic system; economics; household separation behavior; open system; policy simulating analysis; sequence diagram; solid waste disposal; solid waste management system; Analytical models; Biological system modeling; Content addressable storage; Costs; Electronic mail; Recycling; Solid modeling; Unified modeling language; Waste disposal; Waste management; Agent based modeling; Artificial societies; Household social behavior; Policy analysis; Solid waste management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2008. CCC 2008. 27th Chinese
  • Conference_Location
    Kunming
  • Print_ISBN
    978-7-900719-70-6
  • Electronic_ISBN
    978-7-900719-70-6
  • Type

    conf

  • DOI
    10.1109/CHICC.2008.4605156
  • Filename
    4605156