ABSTRACT

In recent years, the need for laboratories to adopt an inventory system with decision support has become increasingly clear. With the increasing complexity of managing inventory, particularly in academic and research settings, this study focuses on the design and development of an Inventory System with Decision Support for the Engineering Laboratory and the School of Information, Technology, and Engineering (SITE) at St. Paul University Philippines. This system aims to address issues such as inaccurate inventory tracking, equipment replacement, and the timely return of borrowed supplies. The study employs a descriptive research design with both qualitative and quantitative methods. IT experts evaluated the system’s compliance with the ISO 25010 software quality standards, and faculty members assessed the system’s efficiency in managing equipment. The results indicate that the system significantly enhances operational efficiency and meets the ISO 25010 standards to a “Very Great Extent.” The study also identifies key areas for improvement, including user access levels, the addition of a Super Admin role, and the implementation of email notifications. The findings suggest that the developed system provides an effective solution to the inventory challenges faced by the Engineering Laboratory and SITE, offering an efficient, reliable, and comprehensive approach to inventory management. Future research may explore the integration of data analysis and artificial intelligence (AI) techniques to further enhance the system’s capabilities

Keywords: Inventory System, decision support, laboratory equipment management
https://doi.org/10.57180/haye8581