TY - JOUR
T1 - Sustainable solid waste management system using multi-objective decision-making model
T2 - a method for maximizing social acceptance in Hoi An city, Vietnam
AU - Hoang, Giang Minh
AU - Fujiwara, Takeshi
AU - Pham Phu, Toan Song
AU - Nguyen, Luong Duc
N1 - Funding Information:
The research was funded by Okayama University, Japan and partly funded by the National University of Civil Engineering, Vietnam under grant number 08-2018/KHXD-T?.
Publisher Copyright:
© 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2019/11/1
Y1 - 2019/11/1
N2 - The main aim of this study was to develop a decision support system for sustainable municipal solid waste management (MSWM) in Hoi An city (HAC), Vietnam. A face-to-face interview was conducted with local experts including authorities, citizens, waste collection contractors and recyclers to identify main objectives of waste management system and appropriate treatment methods. A multi-objective optimization model was proposed using non-linear programming approach. An interactive method known as reference point method (RPM) was applied for solving the problem with three objectives including cost minimization, landfill minimization and emission minimization. As a result, the efficient waste-flow-allocation and the optimal capacity of disposal facilities were determined by intense discussion and agreement among decision-makers. Waste incineration, anaerobic digestion, sanitary landfill and current recycling activities should be applied with a cost of about 2300 US$ daily. Also, the daily emission of various pollutants was about 35 metric tons, and the greenhouse gas (GHG) is 313 tons CO2-eq.
AB - The main aim of this study was to develop a decision support system for sustainable municipal solid waste management (MSWM) in Hoi An city (HAC), Vietnam. A face-to-face interview was conducted with local experts including authorities, citizens, waste collection contractors and recyclers to identify main objectives of waste management system and appropriate treatment methods. A multi-objective optimization model was proposed using non-linear programming approach. An interactive method known as reference point method (RPM) was applied for solving the problem with three objectives including cost minimization, landfill minimization and emission minimization. As a result, the efficient waste-flow-allocation and the optimal capacity of disposal facilities were determined by intense discussion and agreement among decision-makers. Waste incineration, anaerobic digestion, sanitary landfill and current recycling activities should be applied with a cost of about 2300 US$ daily. Also, the daily emission of various pollutants was about 35 metric tons, and the greenhouse gas (GHG) is 313 tons CO2-eq.
KW - Decision support system
KW - Multi-objective decision-making method
KW - Optimization model
KW - Social acceptance
KW - Sustainable waste management
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U2 - 10.1007/s11356-018-3498-5
DO - 10.1007/s11356-018-3498-5
M3 - Article
C2 - 30353439
AN - SCOPUS:85055679822
VL - 26
SP - 34137
EP - 34147
JO - Environmental Science and Pollution Research
JF - Environmental Science and Pollution Research
SN - 0944-1344
IS - 33
ER -
