Implementation Of Six Sigma DMAIC Methodology To Improve The Internship Process

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Israa Abuihaj
Yousef Melhem
Islam Hamdan
Ahmad Bustami
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The DMAIC methodology for Six Sigma is a quality improvement and problem-solving technique for the organization and companies. The manufacturing and production industries apply this technology to improve the process. Our study in this project is based on the implementation of DMAIC for Six Sigma in the Practical Training Center at An-Najah University to improve and develop the training process according to proven scientific foundations and also to achieve the best student satisfaction. Six Sigma principles such as process improvement, waste reduction, and continuous improvement are closely aligned with the mission of the training center. A variety of quality control tools were used in this project to identify the various factors affecting the training center and the student as well as to find a solution to the problems. During the project, some major factors such as unsatisfactory training of students, less time allotted for training and lack of soft skills among students are identified. Solutions for the same are found in a systematic way using quality control tools (Pareto chart, fish bone chart) and providing a process map with SIPOC (Resource, Input, Process, Output and Control), cause and effect analysis. Our studies in this project focused on the students of the Faculty of Engineering and Information Technology, and we got their evaluations from the companies and institutions in which they trained and analyzed them using Six Sigma tools, and we also had the students’ evaluations and answers to the group of questions about their opinion of the companies and the training process and the use of the carrier. The study population in our project consisted of students, companies, and the training center at An-Najah National University, and they numbered 575 students in the Faculty of Engineering and Information Technology. A random sample of 231 students was taken, at a rate of 40% of the total number. Then the averages and standard deviations were calculated.