Delhai medical enterprise: ordering and inventory management system/ Joshua C. Cruzada, Ronald P. Dela Cruz, Peter John Y. Triviño, and Christian O. Ugay.--
Material type:
TextPublication details: Manila: Technological University of the Philippines, 2025.Description: x, 123pages: 29cmContent type: - BTH T 58.5 C78 2025
| Item type | Current library | Shelving location | Call number | Copy number | Status | Date due | Barcode |
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Bachelor's Thesis COS
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TUP Manila Library | Thesis Section-2nd floor | BTH T 58.5 C78 2025 (Browse shelf(Opens below)) | c.1 | Not for loan | BTH0006615 |
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Bachelor's thesis
College Of Science.--
Bachelor of science in information technology: Technological University of the Philippines,
2025.
Includes bibliographic references and index.
This study developed the "Delhai Medical Enterprise Ordering and Inventory Management
System." The system helps strengthen medical supply business operations through
automated inventory control, streamlined ordering processes, and real-time data analytics.
It also enhances operational efficiency while reducing human errors and inventory
discrepancies in a healthcare supply context. This study also provides a comprehensive
solution for medical inventory tracking, pharmaceutical order processing, and supplier
management for medical enterprises. The system was developed with database
management systems, user interface frameworks, and business logic implementation
appropriate for medical inventory applications. It was tested to be satisfactorily working in
terms of system functionality, user interface design, data management capabilities,
reporting features, and system responsiveness. The system demonstrated reliable
performance in tracking medical inventory levels, processing pharmaceutical orders,
managing supplier information, and generating comprehensive reports. The system was
evaluated using a survey instrument with responses from 40 participants including medical
supply business personnel, inventory managers, and IT professionals. Based on the
evaluation results, the project was rated "Highly Acceptable" with a grant weighted mean
3.23 in terms of functionality, user interface design, data management, reporting features,
system integration,security, and scalability, which provesthat the system is very functional
and reliable for implementation in the medical supply.
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