Development of a statistical process control-based monitoring system for industrial engineering students / by Kay Ann O. Dimailig and Ma. Pamela Joyce C. Monsanto.
Material type: TextLanguage: English Publication details: Indang, Cavite : 2018. Cavite State University- Main Campus,Description: xviii, 162 pages : 28 cm. illustrationsContent type:- text
- unmediated
- volume
- 378.105 D59 2018
- College of Engineering and Information Technology (CEIT)
Item type | Current library | Collection | Call number | Materials specified | URL | Status | Notes | Date due | Barcode |
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Theses / Manuscripts | Ladislao N. Diwa Memorial Library Theses Section | Non-fiction | 378.105 D59 2018 (Browse shelf(Opens below)) | Link to resource | Room use only | T-7449 | 00011734 |
Thesis (Bachelor of Science in Industrial Engineering) Cavite State University
Includes bibliographical references.
College of Engineering and Information Technology (CEIT)
DIMAILIG, KAYE ANN O., and MONSANTO, MA. PAMELA JOYCE C.,
Development of a Statistical Process Control-Based Monitoring System for Industrial Engineering Students. Bachelor of Science in Industrial Engineering. Cavite State University, Indang, Cavite. May 2018. Adviser: Ms. Mary Joyce P. Alcazar.
Cavite State University students struggle from different problems during the preregistration procedure. Unorganized processes, incomplete registration forms and requirements, and difficulty in obtaining schedules were some of the contributing factors resulting to lengthy queues. In order to address the problems, the researchers conducted a study to develop a web-based software for industrial engineering students' monitoring through principles of statistical process control and the use of different control charts. The study focused mainly on the development of a statistical process control- based monitoring system for industrial engineering students. This study enabled the researchers to develop a web-based software, an online monitoring system for easy access and generation of grades, subjects, schedules, and reports. This renders a three-part user view for students, instructors, and administrator. Control charts were used for monitoring the number of enrolled s dents, those who graduated, and for current students' status monitoring.
Developmental research design was used in the study. In order to attain the objectives, the researchers followed the Define, Measure, Analyze, Design and Verify (DMADV) approach as its research method. The primary sources of data for this study were the University Registrar, the faculty members from the Department of Industrial Engineering and Technology, and the industrial engineering students. Upon completion of the study, several points were determined: (l) the problems encountered by the industrial engineering students in terms of schedule, subjects, and reports generation; (2) the features included in the concept of SPC-based monitoring system; and (3) the potential benefits of the SPC-based monitoring system for the industrial engineering students and faculty members.
Submitted copy to the University Library. 07/12/2018 T-7449