Garment enterprises are the primary chosen by government as significance dependent on their potential to the level of jobs, to the degree of roles and according to poverty elimination efforts. On the contrary, these enterprises are at stagnant growth due to performance problems. Also, unable to compete in the local and global business sectors. The quality factors that affect this sector highly are; poor-quality product, rework and reject rate, poor raw material quality and low customer satisfaction. Performance is the way enterprises do their jobs and results of their works. Performance improvement has become interchangeable with process improvement. Process Performance improvement is a process of finding out the root causes of a quality problems, by assessing to ensure that the improvements are continuous. Unstable and uncontrollable process causes producing non-conforming product, which affect the overall process performance. In this paper, Statistical Process Control (SPC) methods and seven basic SPC tools are used to tackle process variations of SEs in garment sector. Analysis has showed that the capability process (Cp) index value of these garment SEs are less than 1. This means the process capability not capable and needed for improvement. The assignable causes in the process of garment SEs have been identified where the Man (29.3%), Method (26.1%), Material (23.6%) and Machine (21%) are accountable for quality problems. Finally, depending upon the enterprises problems SUPER (CPI, BPR and BPB) model is proposed to improve quality and to achieve continuous improvement in the process by reducing source of variation in garment SEs.