# Occupational Risk Assessment of Wind Turbines in Bangladesh
## 7 Conclusions  
Occupational risk assessment and control can reduce work-related accidents and death. This study analyzed the occupational risk of wind turbines for different stages using fuzzy-AHP and fuzzy-TOPSIS methods. Fuzzy-AHP was used for weight calculation of Fine-Kinney 3 risk parameters (consequence, exposer, and probability). Fuzzy-TOPSIS was applied for prioritizing hazards of wind turbines in the transportation, construction, operation, and maintenance periods. A comparison and sensitivity analysis were performed with the TOPSIS method. The results of this study demonstrate that the most important hazards are \"Driving vehicles at night in dark weather conditions\", \"Work in hot and humid conditions\", \"Incoherent weather\", and \"Entering of unauthorized persons\", identified during the transportation, construction, operation, and maintenance periods, respectively. The OHS section should track these risks and control them at a certain time. The study makes the following contributions:  
* Developed a systematic framework to assess the occupational risk of wind turbines for transportation, construction, operation, and maintenance stages from an emerging economy context. * Integrated fuzzy-AHP and fuzzy-TOPSIS methods to generate effective results considering the uncertainty and vagueness of the decision-making. * Established a benchmark for the assessment of the occupational risk of wind turbines in Bangladesh. The government and concerned authorities can utilize this information to develop an appropriate action plan to improve their occupational risk management practices. * Offered policymakers, engineers, managers, supervisors, and researchers more realistic decision-making visions and demonstrated an effective way to evaluate occupational risks associated with wind turbines. * Proposed analytical framework that is applicable for other renewable energies such as wind turbines, solar energy countries, and other emerging economies and low-income countries. The findings of this study were well construed from the perspective of Bangladesh, but the proposed model can be applied to any country. These findings may differ from country to country for different situations as well as inputs. Therefore, different countries will generate different prioritized occupational risks or hazards for transportation, construction, operation, and maintenance stages following the same research methodology mentioned in this study. As the practical implications of this research, the results can be utilized in further investigations and implemented by governmental and concerned authorities to plan and promote renewable energies such as wind turbines and solar energy. This project has some limitations. Due to the COVID-19 pandemic, it was challenging to communicate with the experts. Due to this, only three experts were considered in this study. All experts provided data based on their best judgment and their work experience. More experts or stakeholders can be considered in the future. The outcome of this study can be further compared with other MCDA methods such as Fuzzy-VIKOR and VIKOR. Conceptualization, B.B. and G.K.; Methodology, B.B. ; Software, B.B. ; Validation, B.B. and G.K.; Formal analysis, B.B. ; Investigation, B.B. ; Resources, B.B. and G.K.; Data curation, B.B. ; Writing--original draft preparation, B.B. ; Writing--review and editing, G.K.; Visualization, B.B. ; Supervision, G.K.; Project administration, G.K. All authors have read and agreed to the published version of the manuscript. This research received no external funding. Not applicable. The anonymized data are available from the corresponding author. The authors would like to thank the experts for providing their feedback for performing this study. The authors declare no conflict of interest. Pairwise linguistic comparison matrix of Fine-Kinney parameters.