<p>The design of a sustainable manufacturing process is complex, as it requires balancing technological, economic, environmental, and social factors while dealing with uncertainties and conflicting criteria. This research is focused on the uncertainties in the preferences of decision-makers. This study introduces an integrated fuzzy AHP-fuzzy TOPSIS framework, offering a reliable and systematic approach to multi-criteria decision-making. Fuzzy AHP is used to assign accurate weights to criteria by incorporating expert input and addressing the vagueness of linguistic terms, while fuzzy TOPSIS helps rank the alternatives based on how close they are to an ideal solution. In addition, CRITIC method is implemented to find the objective weights of each criterion to identify which criteria require careful consideration and to ensure that the decisions made are best against uncertainties. A case study was conducted on selecting a manufacturing process for hydraulic manifolds, considering 15 distinct criteria such as cost, energy efficiency, material utilization, and functional performance. Three Alternatives were evaluated, these are: conventional manufacturing with 316 Stainless Steel, additive manufacturing with AlSi10Mg, and additive manufacturing with 316 Stainless Steel. The results demonstrated that additive manufacturing with 316 Stainless Steel emerged as the optimal solution, exceeding the other alternatives in terms of sustainability and functional performance. Sensitivity analysis using one at a time weight variations, confirmed the stability and reliability of the proposed methodology. The results highlight the framework’s adaptability to diverse scenarios and its capacity to provide useful insights for decision-makers. This study provides a practical, reliable and effective tool for promoting sustainable practices in manufacturing process selection by integrating sustainability principles and addressing the complexities of modern manufacturing.</p>