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Published on: July 24, 2016
Benchmarking Canadian solid waste management system integrating fuzzy analytic hierarchy process (FAHP) with efficacy
Golam Kabir1, Sk Kafi Ahmed2, Armin Aalirezaei2
1Industrial Systems Engineering, University of Regina, Regina, SK, Canada. golam.kabir@uregina.ca.
This study assessed Canadian solid waste management economic efficiency using fuzzy analytic hierarchy process (FAHP) and efficacy methods. The diversion gross domestic product (DGDP) ratio and diversion rate are key indicators, with Nova Scotia, British Columbia, and Ontario showing superior performance.
Area of Science:
- Environmental Science
- Economics
- Operations Research
Background:
- Urbanization and population growth present significant solid waste management challenges globally.
- Assessing the economic efficiency of waste management systems is crucial for sustainable development.
Purpose of the Study:
- To identify and compare the economic efficiency of Canadian waste management systems.
- To determine the most influential economic indicators for waste management performance.
Main Methods:
- Integration of the fuzzy analytic hierarchy process (FAHP) for indicator weighting.
- Application of the efficacy method for ranking economic indicators.
- Analysis of six key economic indicators including diversion gross domestic product (DGDP) ratio and diversion rate.
Main Results:
- The DGDP ratio was identified as the most influential factor for GDP-related indicators.
- The DGDP ratio and diversion rate are critical for assessing economic efficiency.
- Nova Scotia, British Columbia, and Ontario demonstrate higher economic performance in waste management.
Conclusions:
- The study provides a robust framework for evaluating the economic efficiency of solid waste management.
- Findings will assist governments and organizations in developing effective waste management strategies.
- Improved economic performance in waste management can be achieved through focused policy interventions.
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