Abstract
This study investigates the adoption and effectiveness of quality management tools in industrial sectors, highlighting their impact on organizational performance. Using a mixed-methods approach, data were collected through structured questionnaires targeting professionals across various industries. Results show that traditional tools like the Pareto Chart and Ishikawa Diagram are widely adopted and highly effective, while advanced tools such as Statistical Process Control (SPC) face implementation challenges due to technical and organizational barriers. The findings underscore the importance of training, organizational readiness, and the integration of digital technologies to enhance tool utilization. This research contributes to the literature by providing actionable insights for improving quality management practices in diverse industrial contexts.