Volume 17, Issue 3 (12-2024)
ijhe 2024, 17(3): 459-478 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Naghibzadeh S S, Moeinaddini M, Zafaranieh M. Developing a decision support system to provide environmentally and economically optimized scenarios for waste management: a case study application. ijhe 2024; 17 (3) :459-478
URL: http://ijhe.tums.ac.ir/article-1-6891-en.html
URL: http://ijhe.tums.ac.ir/article-1-6891-en.html
1- Department of Environmental Science, Natural Resource Faculty, University of Tehran, Karaj, Iran
2- Department of Environmental Science, Natural Resource Faculty, University of Tehran, Karaj, Iran ,moeinaddini@ut.ac.ir
3- Mathematics and Computer Sciences Department, Hakim Sabzevari University, Sabzevar, Iran
2- Department of Environmental Science, Natural Resource Faculty, University of Tehran, Karaj, Iran ,
3- Mathematics and Computer Sciences Department, Hakim Sabzevari University, Sabzevar, Iran
Abstract: (42 Views)
Background and Objective: Identiying the most optimal solution has long been an significant challenge for waste management decision-makers. This study aims to develop a decision support system to identify optimal environmental and economic scenarios for waste management.
Materials and Methods: This study presents the development and application of a decision support system that estimates the environmental burden and cost of waste using Life Cycle Assessment (LCA) and Life Cycle Cost (LCC) tools. The system then identifies optimal environmental and economic scenarios for waste management through a linear programming model. Data from the Karaj waste management system were utilized to apply and validate the decision support system.
Results: The outputs of the linear programming model in this system included one scenario based on minimizing environmental impacts and two scenarios based on minimizing costs imposed on the Karaj waste management system (MSWS). In both the environmental and second economic scenarios, incineration contributed the most to waste management, whereas composting was the dominant method in the first economic scenario. Additionally, recycling the maximum possible amount of recyclable materials was a common feature in all three scenarios, due to its environmental and economic benefits.
Conclusion: The result of this study demonstrate that the current Decision Support System can provide optimal environmental and economic scenarios for waste management to the decision-makers in the field. This is achieved by considering the inherent differences in the types of waste produced, the technologies employed, and the processing costs associated with each waste management system.
Materials and Methods: This study presents the development and application of a decision support system that estimates the environmental burden and cost of waste using Life Cycle Assessment (LCA) and Life Cycle Cost (LCC) tools. The system then identifies optimal environmental and economic scenarios for waste management through a linear programming model. Data from the Karaj waste management system were utilized to apply and validate the decision support system.
Results: The outputs of the linear programming model in this system included one scenario based on minimizing environmental impacts and two scenarios based on minimizing costs imposed on the Karaj waste management system (MSWS). In both the environmental and second economic scenarios, incineration contributed the most to waste management, whereas composting was the dominant method in the first economic scenario. Additionally, recycling the maximum possible amount of recyclable materials was a common feature in all three scenarios, due to its environmental and economic benefits.
Conclusion: The result of this study demonstrate that the current Decision Support System can provide optimal environmental and economic scenarios for waste management to the decision-makers in the field. This is achieved by considering the inherent differences in the types of waste produced, the technologies employed, and the processing costs associated with each waste management system.
Keywords: Decision support system, Life cycle assessment, Life cycle cost analysis, Waste management scenariosa
Type of Study: Research |
Subject:
General
Received: 2024/01/21 | Accepted: 2024/09/8 | Published: 2024/12/11
Received: 2024/01/21 | Accepted: 2024/09/8 | Published: 2024/12/11
Send email to the article author
| Rights and Permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
