Managing projects to ensure optimal performance is a major challenge. As organizations prioritize efficiency and excellence in project execution, accurate performance measurement mechanisms become more important. This study uses statistical process control principles to explore how organizations can monitor and enhance project performance, using an anechoic chamber for Electro Magnetic Compatibility (EMC) as an example to illustrate these concepts. This specialized chamber serves as a critical environment for conducting electromagnetic compatibility testing, underscoring its pivotal role in ensuring the reliability and functionality of electronic equipment. Our investigation evaluates the project's performance, focusing particularly cost and schedule management. Statistical Process Control (SPC) and Earned Value Management (EVM) methodologies are used to monitor the project schedule's progress in this study effectively. By leveraging EVM, we derive key performance metrics, including the Schedule Performance Index (SPI) and the Cost Performance Index (CPI). Subsequently, SPC analysis is employed to scrutinize SPI and CPI outputs, discerning whether these indices fall above or below the Center Line (CL), thus providing insights into project performance trends. Our findings provide a picture of project performance. SPI study shows three months of performance above the CL, six months around the CL, and three months below the CL. Similarly, CPI analysis shows three months above the CL, four months near the CL, and five months below the CL. Incorporating EVM and SPC techniques provides the project team with actionable insights, allowing proactive decision-making and efficient problem-solving. This comprehensive strategy enables stakeholders to optimize project results, resulting in greater success.