Sustainable Energy Research, Journal Year: 2025, Volume and Issue: 12(1)
Published: Jan. 31, 2025
Unreliable energy supply disrupts productivity and escalates costs in manufacturing enterprises, highlighting the need for robust resilience strategies. Existing multi-criteria decision-making (MCDM) methods, such as analytic hierarchy process (AHP), best–worst method (BWM), unaugmented TOPSIS, often lack advanced risk prioritization objective criteria weighting, limiting their effectiveness addressing complex, multidimensional challenges. This study proposes an integrated framework that combines Failure Mode Effects Analysis (FMEA) prioritization, CRITIC-method weighting based on 4A's dimensions—availability, accessibility, affordability, acceptability—and fuzzy-TOPSIS strategy ranking. The bridges theoretical rigor with operational applicability, unique challenges faced by enterprises. Validated through a real-world case sensitivity analysis, it identifies actionable strategies, flexible scheduling, demonstrating consistent rankings across comparative analyses fuzzy VIKOR, WASPAS, MARCOS. sector-specific approach advances both academic understanding industrial practice providing scalable, tool enhancing resilience. presents integrating FMEA, CRITIC-method, within to address It prioritizes risk, provides ranks strategies under uncertainty. study, effective demonstrates adaptability, confirming robustness via analyses. Demonstrating adaptability varying weights (± 20%) reliability MCDM offers advancing practical manufacturing.
Language: Английский