Analysis of College Enrollment System Using Six-Sigma (DMAIC) Methodology

Abstract

This paper shows how Six-Sigma methodology was applied to address systems issues such as operational variations that cause the defects of the enrollment system. This method provides a structured framework which identifies, quantifies, and eliminates sources of variation in the chosen system. Primarily, this study aimed to identify the problems of the enrollment processing and develop improvement measures to alleviate the problems identified. Descriptive research design employing survey method was used to collect the data from the respondents who are undergraduate continuing students of Visayas State University. Data were collected following a non-probability convenience sampling technique where 50 respondents were selected according to their availability during the enrollment period. Result shows that the process sigma was -2.54 with PPM defects of 996,017. This sigma level indicates that the process was not performing well. Using the DMAIC methodology, it was found out that the long queues of the enrollment are mainly caused by bottlenecks which occurred in assessment and printing of COR where effective capacity was not enough to process the demand of 177 students per day. It is therefore recommended that the capacity for assessment and printing should be increased by adding two personnel and the registrar should have a forecast on the enrollees to have a good estimation on the number of sections per subject to offer. With the aid of Six-Sigma methodology, measures were identified to alleviate the causes of variations based on what is critical to the customer for an improved and sustained performance of the enrollment processing.