Integrated TOPSIS-COV approach for selecting a sustainable PET waste management technology: A case study in Qatar
- PMID: 36061036
- PMCID: PMC9434055
- DOI: 10.1016/j.heliyon.2022.e10274
Integrated TOPSIS-COV approach for selecting a sustainable PET waste management technology: A case study in Qatar
Abstract
In 2018, the global annual consumption of Polyethylene terephthalate (PET) bottles was approximately 27.64 million tons, with one million bottles sold worldwide every minute. Unmanaged PET bottles in the environment lead to a series of negative effects on the health of humans and ecosystems. Therefore, the objective of this research was to evaluate the sustainability of eight different PET waste bottle treatment methods using a holistic multi-criteria decision-making approach that combined the technique for order of preference by similarity to ideal solution (TOPSIS) with analytic hierarchy (AHP; TOPSIS-AHP) and coefficient of variation (COV; TOPSIS-COV) approaches. To the best of our knowledge, TOPSIS-COV has not yet been used for waste management. The treatment methods were compared and analyzed against twelve different performance criteria representing three pillars of sustainability: environmental, economic, and social. Both approaches determined closed-loop recycling to be optimal for treating PET waste bottles. The weights of performance indicators obtained using the COV and AHP approaches were comparable, except for cost, photochemical oxidant potential, and human toxicity. The large dispersion in the values of the photochemical oxidant potential causes it to have a higher weight in the COV approach. For cost, the weight was higher using the AHP approach by approximately 12%, which reflects the preference of decision-makers to reduce costs of ventures.
Keywords: Analytic hierarchy process; Circular economy; Multi-criteria decision making; Performance indicators; Resource management; Sustainable waste management.
© 2022 The Author(s).
Conflict of interest statement
The authors declare no conflict of interest.
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