Detail publikace

The Logistic Model for Decision Making in Waste Management

Originální název

The Logistic Model for Decision Making in Waste Management

Anglický název

The Logistic Model for Decision Making in Waste Management

Jazyk

en

Originální abstrakt

In the paper, the tool for conceptual planning of new waste-to-energy capacities is introduced. By using the results of calculations, waste management policies can be realized through legislative amendments. In addition, it is also possible to determine the attractiveness of potential sites for the construction of new facilities. Therefore, the presented optimization model represents an important contribution towards managing waste effectively. The model represents a transportation problem implemented for this field. Its practical application is demonstrated through a case study related to specific region (the Czech Republic). A risk analysis of two WTE projects located in different areas is performed. The stochastic approach that can be considered as wait-and-see approach includes repeated calculation and subsequent generation of reliability functions. Obtained functions than indicate risky and/or attractive projects. We further plan to focus on generalization and modification of our model to involve uncertain parameters in more complex way, see, e.g. (Huang et al., 2001) and (Birge and Louveaux, 1997). Another challenging task is an application of our tool for simulation and/or optimization of spreading EU waste market. This means its introduction for larger area exceeding the border of one country with all its consequences in increased demand on input data.

Anglický abstrakt

In the paper, the tool for conceptual planning of new waste-to-energy capacities is introduced. By using the results of calculations, waste management policies can be realized through legislative amendments. In addition, it is also possible to determine the attractiveness of potential sites for the construction of new facilities. Therefore, the presented optimization model represents an important contribution towards managing waste effectively. The model represents a transportation problem implemented for this field. Its practical application is demonstrated through a case study related to specific region (the Czech Republic). A risk analysis of two WTE projects located in different areas is performed. The stochastic approach that can be considered as wait-and-see approach includes repeated calculation and subsequent generation of reliability functions. Obtained functions than indicate risky and/or attractive projects. We further plan to focus on generalization and modification of our model to involve uncertain parameters in more complex way, see, e.g. (Huang et al., 2001) and (Birge and Louveaux, 1997). Another challenging task is an application of our tool for simulation and/or optimization of spreading EU waste market. This means its introduction for larger area exceeding the border of one country with all its consequences in increased demand on input data.

BibTex


@article{BUT102325,
  author="Radovan {Šomplák} and Martin {Pavlas} and Pavel {Popela} and Vít {Procházka}",
  title="The Logistic Model for Decision Making in Waste Management",
  annote="In the paper, the tool for conceptual planning of new waste-to-energy capacities is introduced. By using the results of calculations, waste management policies can be realized through legislative amendments. In addition, it is also possible to determine the attractiveness of potential sites for the construction of new facilities. Therefore, the presented optimization model represents an important contribution towards managing waste effectively. 
The model represents a transportation problem implemented for this field. Its practical application is demonstrated through a case study related to specific region (the Czech Republic). A risk analysis of two WTE projects located in different areas is performed. The stochastic approach that can be considered as wait-and-see approach includes repeated calculation and subsequent generation of reliability functions. Obtained functions than indicate risky and/or attractive projects.
We further plan to focus on generalization and modification of our model to involve uncertain parameters in more complex way, see, e.g. (Huang et al., 2001) and (Birge and Louveaux, 1997). Another challenging task is an application of our tool for simulation and/or optimization of spreading EU waste market. This means its introduction for larger area exceeding the border of one country with all its consequences in increased demand on input data.",
  address="AIDIC Servizi S.r.l",
  chapter="102325",
  doi="10.3303/CET1335136",
  institution="AIDIC Servizi S.r.l",
  number="1",
  volume="35",
  year="2013",
  month="september",
  pages="817--822",
  publisher="AIDIC Servizi S.r.l",
  type="journal article - other"
}