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Asset Flow: A Centralized Web-Based Asset Lifecycle Management System
Subject area: Science,Engineering and Technology · Area of research: Web-based Asset Management Systems
DOI: https://doi.org/10.64388/IREV9I10-1716334
Abstract
Efficient management of organizational assets is a fundamental requirement for operational stability, financial accountability, and regulatory compliance. In many small and medium enterprises (SMEs), asset tracking is still performed using manual registers or spreadsheet-based systems. These approaches are prone to human error, data redundancy, delayed updates, and limited scalability. As the number of assets increases, the absence of a centralized monitoring system results in poor visibility, inefficient allocation, and increased operational risk. Although enterprise-grade asset management platforms provide advanced lifecycle monitoring and predictive analytics, they often involve high implementation costs, complex deployment processes, and significant technical overhead. Such systems are typically optimized for large industrial environments rather than SMEs with moderate asset volumes.This research presents Asset Flow, a centralized web-based asset lifecycle management system designed to unify asset registration, allocation, monitoring, and reporting into a secure and scalable platform. The proposed system utilizes a layered architecture implemented using Spring Boot, Hibernate ORM, and a structured relational database. It supports real-time asset updates, automated maintenance scheduling, warranty tracking, depreciation monitoring, and audit-ready reporting.A role-based authentication framework ensures secure access control and data integrity. Experimental evaluation demonstrates improved data retrieval efficiency, elimination of duplication, reduced administrative overhead, and enhanced lifecycle transparency. The proposed system provides a cost-effective and extensible solution that bridges the gap between manual tracking systems and enterprise-level platforms.
How to cite this paper
@article{1716334,
author = {Prof. Dr. Sanjivani Deokar, Parth Tripathi, Swet Pandey, Sakshi Maurya, Vaibhav Dubey},
title = {Asset Flow: A Centralized Web-Based Asset Lifecycle Management System},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {10},
pages = {1522-1525},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1716334.pdf},
abstract = {Efficient management of organizational assets is a fundamental requirement for operational stability, financial accountability, and regulatory compliance. In many small and medium enterprises (SMEs), asset tracking is still performed using manual registers or spreadsheet-based systems. These approaches are prone to human error, data redundancy, delayed updates, and limited scalability. As the number of assets increases, the absence of a centralized monitoring system results in poor visibility, inefficient allocation, and increased operational risk. Although enterprise-grade asset management platforms provide advanced lifecycle monitoring and predictive analytics, they often involve high implementation costs, complex deployment processes, and significant technical overhead. Such systems are typically optimized for large industrial environments rather than SMEs with moderate asset volumes.This research presents Asset Flow, a centralized web-based asset lifecycle management system designed to unify asset registration, allocation, monitoring, and reporting into a secure and scalable platform. The proposed system utilizes a layered architecture implemented using Spring Boot, Hibernate ORM, and a structured relational database. It supports real-time asset updates, automated maintenance scheduling, warranty tracking, depreciation monitoring, and audit-ready reporting.A role-based authentication framework ensures secure access control and data integrity. Experimental evaluation demonstrates improved data retrieval efficiency, elimination of duplication, reduced administrative overhead, and enhanced lifecycle transparency. The proposed system provides a cost-effective and extensible solution that bridges the gap between manual tracking systems and enterprise-level platforms.},
month = {April},
doi = {https://doi.org/10.64388/IREV9I10-1716334}
}