Related Experiment Videos
Using multiple criteria decision analysis for supporting decisions of solid waste management
Steven Cheng1, Christine W Chan, Guo H Huang
1Department of Computer Science, University of Regina, Sask, Canada.
Summary
This study applies multiple criteria decision analysis (MCDA) to select the best landfill site in Regina, Saskatchewan. MCDA methods systematically evaluate alternatives, aiding decision-makers in solid waste management.
Area of Science:
- Environmental Engineering
- Operations Research
- Decision Science
Background:
- Solid waste management system design involves complex choices with conflicting stakeholder impacts.
- Multiple Criteria Decision Analysis (MCDA) offers a structured approach to address these challenges.
Purpose of the Study:
- To apply MCDA to the landfill selection problem in Regina, Saskatchewan, Canada.
- To establish a decision support system for selecting the most preferable landfill solution.
Main Methods:
- The study employed five MCDA techniques: Simple Weighted Addition, Weighted Product, TOPSIS, cooperative game theory, and ELECTRE.
- These methods were used to systematically evaluate and rank alternative landfill solutions.
Main Results:
- The application of various MCDA techniques provided a comparative analysis of different landfill selection criteria.
- The results identified and ranked the most preferable landfill solution based on the evaluated criteria.
Conclusions:
- MCDA provides a robust framework for complex solid waste management decisions, such as landfill selection.
- The systematic evaluation facilitated by MCDA supports informed decision-making and the development of effective decision support systems.