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Municipal solid waste management with cost minimization and emission control objectives
Date
2017-10-14
Author
Mohsenızadeh, Melıka
Kentel Erdoğan, Elçin
Tural, Mustafa Kemal
Metadata
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Proper management of municipal solid waste (MSW) has been a crucial aspect of every society due to its social, environmental, and economic impacts. Operations research techniques have frequently focused on cost minimization objectives in locational planning of municipal solid waste management (MSWM) systems. However, transportation constitutes an integral part of this system producing a considerable amount of greenhouse gas (GHG) emissions. Therefore, sustainable management of this system with GHG emissions minimization considerations is necessary to preserve the resources and protect the environment. In this study, a bi-objective optimization model is proposed to minimize system cost and carbon dioxide (CO2) emission resulting from transportation activities in locational planning of MSWM systems. The proposed model is applied to MSWM system of Ankara to introduce transfer stations (TSs). Two extensions of the current system are examined, namely, the extended and hybrid systems, where MSW is only transported through TSs in the former, while direct shipments are also allowed in the latter. For both extensions, it is observed that with no or little increase in cost, considerable savings in emission can be achieved. Simulation analyses show that CO2 emission and cost are not subject to a considerable change due to speed variations of vehicles.
Subject Keywords
Bi-objective optimization
,
CO2 emission
,
Facility location
,
Municipal solid waste management
,
Sustainable transportation
URI
https://hdl.handle.net/11511/82809
Conference Name
The 5th International Fuzzy Systems Symposium 2017 (14 - 15 Ekim 2017)
Collections
Department of Civil Engineering, Conference / Seminar
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M. Mohsenızadeh, E. Kentel Erdoğan, and M. K. Tural, “Municipal solid waste management with cost minimization and emission control objectives,” presented at the The 5th International Fuzzy Systems Symposium 2017 (14 - 15 Ekim 2017), 2017, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/82809.