Quality assurance in higher education is essential for reflecting organizational performance and supporting strategic decision-making. Key Performance Indicators (KPIs) are widely used to evaluate academic performance, research outcomes, and resource utilization. The Institute of Engineering at Suranaree University of Technology applies KPIs to monitor institutional performance in alignment with national and international quality frameworks, including EdPEx 300 and the Thailand Quality Class (TQC). However, the existing KPI monitoring process relies heavily on manual data handling, resulting in redundant data entry, fragmented data storage, and delays in reporting. Process analysis shows that the current (AS-IS) process consists of seven major steps and requires approximately 27–29 days per reporting cycle. This study aims to analyze and improve the KPI monitoring process by applying a Systems Engineering approach integrated with the ECRS principles (Eliminate, Combine, Rearrange, and Simplify). A redesigned desired-state (TO-BE) process is proposed, emphasizing centralized data integration, automated data processing, and real-time dashboard visualization. The results indicate that the proposed process reduces the number of operational steps from seven to five and shortens the reporting cycle to approximately 10–12 days, representing an efficiency improvement of about 60%. The improved process also enhances data accuracy and reliability, thereby supporting organizational decision-making.

Keywords

Key Performance Indicators; Systems Engineering; Process Improvement; ECRS; Higher Education Quality Assurance