Quality has become one of the most important customer decision factors in the selection among the competing product and services. Consequently, understanding and improving quality is a key factor leading to University success, growth and an enhanced competitive position. Hence quality improvement program should be an integral part of the overall University strategy. According to total quality management, focused on process, rather than results as the results are driven by the processes. many techniques are available for quality improvement. Statistical Process Control (SPC) in one such total quality management technique which is widely accepted for analyzing quality problems and improving the performance of the production process. This research illustrates the step by step procedure adopted at a department of Industrial Engineering, Faculty of Engineering, Rajamangala University of Technology Lanna, Chiang Mai, Thailand to improve the quality by reducing process variability using Statistical Process Control by cause and effect diagram, and process capability analysis respectively.