IJSEA Volume 13 Issue 12

Quality Optimization in Higher Education Using DMAIC Analysis

Faraj F. Eldabee, Fadwa M. Alshalmani, Mabrouka A Hammad
10.7753/IJSEA1312.1004
keywords : Higher Education, Graduation Time, DMAIC, Quality Improvement, ANCOVA Analysis

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This paper explores the application of Six Sigma methodology to optimize the quality in higher education institutions, particularly focusing on reducing graduation time of M.sc students. By employing the DMAIC (Define, Measure, Analyze, Improve, Control) framework, this study analyzes student performance data from Benghazi University to identify key factors contributing to delayed graduation. Pareto diagram was used to analysis determines the most significant factors. The findings suggest that both of conflict disruption supervisors and references availability are the main factors that contribute most of graduation delay. ANCOVA was used to analyze the graduation time delay with respect to supervisor and references availability while controlling the effects of disruptions. ANCOVA revealed that student may delayed about 4 months for each year of war. Moreover, significant reduction achievement in average graduation delay by1 year for students with excellent supervisor availability / low, and about 10 months with excellent references availability/low. Improvement strategies were suggested to enhance educational processes expressed in shorter graduation times
@artical{f13122024ijsea13121004,
Title = "Quality Optimization in Higher Education Using DMAIC Analysis",
Journal ="International Journal of Science and Engineering Applications (IJSEA)",
Volume = "13",
Issue ="12",
Pages ="12 - 16",
Year = "2024",
Authors ="Faraj F. Eldabee, Fadwa M. Alshalmani, Mabrouka A Hammad "}