In this study, a tool is developed for determining priorities of quality improvement activities for manufacturing operations, for the purposes of both quality and throughput improvement. This tool utilizes Quality Function Deployment (QFD), Theory of Constraints (TOC), Statistical Process Control (SPC) and Failure Mode and Effects Analysis (FMEA) methodologies. The use of the tool is demonstrated on an example problem. The results obtained under different experimental conditions are compared with solutions of more popular, simple decision-making measures, and the optimal solutions obtained from a mathematical model. The analysis shows that the proposed tool gives close solutions to optimal, and it can easily be applied in a typical manufacturing setting. This study also demonstrates how various different methodologies can be integrated for the purposes of quality and throughput improvement in shorter times.