In today’s competitive and technologically evolving environment, companies and research organizations face increasingly complex challenges that require innovative and effective solutions. The TRIZ methodology (Theory of Inventive Problem Solving) provides a structured approach to identifying and resolving contradictions, leading to the generation of multiple inventive solutions. However, selecting the most suitable solution among many alternatives remains a significant challenge. This study introduces an integrated decision-making framework that combines TRIZ with a Multi-Criteria Decision-Making (MCDM) approach, focusing on technical feasibility, economic viability, and environmental sustainability. The framework applies the Best-Worst Method (BWM) to determine the relative importance of criteria and uses the VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje, meaning multi-criteria optimization and compromise solution) method to rank the proposed solutions. A Likert scale was employed to assess expert judgments, enabling a more structured and consistent evaluation of alternatives. To see the applicability of our proposed approach, a case study was conducted in order to validate the framework and demonstrate its effectiveness in supporting innovation management. The proposed approach offers a scalable and adaptable model for selecting optimal solutions across various industries, balancing innovation with feasibility and sustainability.