Application of Management Information System for Machinery Maintenance of The Mechanical Engineering Department, Phetchaburi Rajabhat University การประยุกต์ใช้ระบบการจัดการเทคโนโลยีสารสนเทศสำหรับการบำรุงรักษาเครื่องจักรกลของสาขาวิชาวิศวกรรมเครื่องกล มหาวิทยาลัยราชภัฏเพชรบุรี

Abstract

This research aimed to: 1) Develop an information management system for data storage, notification, and maintenance of machinery (lathe machines) in the Mechanical Engineering Department, Faculty of Engineering and Industrial Technology, Phetchaburi Rajabhat University. 2) Experiment with the information management system with 10 lathe machines. 3) Evaluate user satisfaction with the information management system of 24 people consisting of lecturers, staff, and students of the Mechanical Engineering Department. The method of conducting research is by creating a Google Sheets application and notify through the LINE application. The system created employs Google Sheets application for data management and LINE application for notifications. It consists of two parts: the equipment maintenance notification system, which notifies users of equipment inspection schedules, and the equipment repair notification system, which allows users to scan QR codes on all 10 lathe machines to report issues. The data was then sent to the administrator's LINE application for further action. The system was tested by faculty members and students using the lathe machines, and user satisfaction was evaluated. The statistical measures used for the research include the mean and standard deviation.

Research findings indicate that: 1) The information technology management system for machinery maintenance in the Mechanical Engineering Department enables staff to access inspection data and plan maintenance, thus improving machinery performance and reducing downtime. 2) The developed system is practical and helps the department manage procurement and expenditure data efficiently for maintenance purposes. 3) Users are highly satisfied with the system, with an average satisfaction rating of 4.46 and a standard deviation of 0.56.