<p>Growing concerns over achieving sustainable development have intensified the pressure on manufacturing industries to effectively appraise and adopt advanced technologies to develop sustainable manufacturing processes. Industry 4.0 technologies are believed to offer significant benefits in this regard. However, more in-depth empirical research is needed to evaluate their effectiveness in developing sustainable manufacturing processes. Thus, this research aims to offer a thorough discussion on the topic, with a specific emphasis on Industry 4.0 technological appraisals to determine their value on major performance criteria of sustainable processes. For this purpose, a four-phase methodological framework is structured to empirically examine the performance of technologies in each aspect of the triple bottom-line through a review and survey. The technologies are then evaluated based on key criteria using the fuzzy technique for order of preference by similarity to ideal solution, complemented by a detailed sensitivity analysis. Considering the triple bottom-line at large, the empirical results revealed ‘simulation and optimization’ and ‘industrial internet of things’ as invaluable technologies for developing sustainable production processes. Taking the major criteria into specific consideration, the research findings remarkably demonstrated that both technologies have the highest performance in the understudied context. This appraisal approach, acknowledged as a vital contributor to promoting sustainable development, has yielded results that strengthen the reliability and coherence of conclusions for both research and decision-making. Such insights can empower industrial decision-makers and policymakers to adopt and advance the technological initiatives required to improve the sustainability performance of their processes.</p>