Abstract:

The recycling process is an important step in waste management for a sustainable environment. However, some steps in the recycling process can pose a risk to human health. Oxides that remain in the open area for a long time due to insufficient storage may threaten the environment. Toxic wastes can spread to the environment due to human or software errors that occurs in the machines. Therefore, system reliability is essential to predict many problems that may arise and to design the correct working process in recycling facilities. In this study, an alternative method is proposed for the system reliability of recycling facilities. In order to measure reliability, the criteria and compliance of the system with these criteria are determined by the experts. Depending on their information, the reliability index is calculated. By calculating the performance importance index, the most risky groups that are in critical condition and affect reliability are identified. Spherical fuzzy numbers are used in the proposed method to evaluate criteria. The reliability level of the system is determined by using performance and reliability indices created with fuzzy expressions. Thus, main problems affecting system reliability are identified. In application, a study in the literature is used and the results are compared to show the validity of the analysis.

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