Lab Tracker: Laboratory Equipment Tracking System

The laboratory equipment inventory tracking system expedited and enhanced laboratory resource management. Numerous laboratories relied significantly on an assortment of expensive and delicate apparatus. However, the manual inventory tracking methods that were previously employed in several laboratories frequently resulted in inefficiency, errors, and mismanagement of valuable resources. This study implemented a robust and automated tracking system employing modern technologies such as RFID (Radio-Frequency Identification) and RFID Tags to resolve these challenges. Microsoft Visual Studio was used to develop the system. The system permitted real-time monitoring and recording of the location, status, and movement of equipment. By integrating with a centralized database, laboratory personnel had access to accurate and current data, allowing for efficient equipment allocation and inventory replenishment. In addition, the system included features such as user authentication, further optimizing laboratory resource utilization and availability. The research entailed the design and development of a tracking system, the testing of its functionality and usability, and the evaluation of its impact on laboratory operations through experimental design methodology. The study extensively tested the system's equipment tracking and report-generating capabilities. The system's effective RFID integration and user feedback demonstrate its potential to reduce financial losses from equipment misplacement, loss, and damage and save time in inventory. This study contributes to laboratory management by demonstrating how innovative tracking systems improve efficiency and accuracy.

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Publication Details

Journal
Psychology and Education A Multidisciplinary Journal
Published
2025-04-22
DOI
https://doi.org/10.70838/pemj.351001
Primary Topic
Industrial Automation and Control Systems
Type
article
Field-Weighted Citation Impact
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article

Lab Tracker: Laboratory Equipment Tracking System

Rhea Nikka Salinas, Marieli Kae Cano, Elmer Hans Leal, Seanleigh Jiven Lubong et al.
Psychology and Education A Multidisciplinary Journal
Industrial Automation and Control Systems
article

Lab Tracker: Laboratory Equipment Tracking System

Rhea Nikka Salinas, Marieli Kae Cano, Elmer Hans Leal, Seanleigh Jiven Lubong, Miguel Micoleta, Nhel Joshua Sobrevega, Glamedette Opay, Keziah Ann Rosini
article en

Abstract

The laboratory equipment inventory tracking system expedited and enhanced laboratory resource management. Numerous laboratories relied significantly on an assortment of expensive and delicate apparatus. However, the manual inventory tracking methods that were previously employed in several laboratories frequently resulted in inefficiency, errors, and mismanagement of valuable resources. This study implemented a robust and automated tracking system employing modern technologies such as RFID (Radio-Frequency Identification) and RFID Tags to resolve these challenges. Microsoft Visual Studio was used to develop the system. The system permitted real-time monitoring and recording of the location, status, and movement of equipment. By integrating with a centralized database, laboratory personnel had access to accurate and current data, allowing for efficient equipment allocation and inventory replenishment. In addition, the system included features such as user authentication, further optimizing laboratory resource utilization and availability. The research entailed the design and development of a tracking system, the testing of its functionality and usability, and the evaluation of its impact on laboratory operations through experimental design methodology. The study extensively tested the system's equipment tracking and report-generating capabilities. The system's effective RFID integration and user feedback demonstrate its potential to reduce financial losses from equipment misplacement, loss, and damage and save time in inventory. This study contributes to laboratory management by demonstrating how innovative tracking systems improve efficiency and accuracy.

Psychology and Education A Multidisciplinary JournalVol. 35(10)
Saint Mary's University (PH), Nueva Vizcaya State University (PH)
Openalex Percentile: Top 91%
Industrial Automation and Control Systems
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