Using Fuzzy Delphi Method in Selecting Sustainable Remanufacturing Elements: Supply Chain Perspectives

The research commenced with a focus on reverse logistics analysis, employing the fuzzy Delphi method (FDM) to identify barriers, enhancing decision-making and forecasting trends. A modified FDM incorporating Z-numbers was introduced, providing precision in uncertain contexts. Questionnaire development integrated literature review and expert input, ensuring comprehensive coverage. Utilizing Triangular Fuzzy Numbers and Defuzzification facilitated item prioritization, establishing a structured hierarchy for sustainable remanufacturing strategies. Expert consensus thresholds guided iterative Delphi rounds, ensuring robustness. Likert Scale data transitioned into Fuzzy Scale, with conditions dictating item acceptance. Triangular Fuzzy Numbers’ role in acceptance/rejection underscored its utility. Defuzzification finalized item ranking, ensuring methodical decision-making. The process’s structured application in Microsoft Excel ensured accuracy and reliability in data analysis.