| Title | Barriers to circular economy implementation in designing of sustainable medical waste management systems using a new extended decision-making and FMEA models |
|---|---|
| ID_Doc | 4890 |
| Authors | Ghoushchi, SJ; Ghiaci, AM; Bonab, SR; Ranjbarzadeh, R |
| Title | Barriers to circular economy implementation in designing of sustainable medical waste management systems using a new extended decision-making and FMEA models |
| Year | 2022 |
| Published | Environmental Science And Pollution Research, 29, 53 |
| Abstract | The idea of the circular economy (CE) has gained prominence in the policies of the European Union (EU), commerce, and academic studies. Basically, CE is capable of achieving the best value and resolving many of the systemic challenges in the society and commerce of a country, thus leading to sustainable development and preventing irreparable damage to the environment. Medical waste management has proved a daunting challenge with the increase in the global population and the demand for medical services. Fuzzy multi-criteria decision-making approaches try to cover the different and uncertain views of decision-makers (DMs). The present study suggests a novel strategy based on multi-objective optimization using the ratio analysis (MOORA) in the area of spherical fuzzy sets (SFSs) to counterbalance the disadvantages of the failure modes and effects analysis (FMEA) method, such as the lack of weight assignment for risk factors and consideration of uncertainty. In the proposed method, first, the barriers are identified using the FMEA method, and the risk factors are given values. Then, the barriers identified using MOORA are prioritized in the spherical fuzzy (SF) area. The computational procedure of the proposed methodology is established through a case study of the barriers to circular economy implementation in designing sustainable medical waste management systems problems under an SF environment. The proposed approach was compared with IF-MOORA and was found that the results are more reliable using the proposed method, also the ranking in the MOORA method was compared with the TOPSIS method in terms of degree of correlation. |
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