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IoT integrated advanced inventory management system / Muhammad Hafizudin Azmi

This study proposed an IoT-based smart inventory system designed to streamline inventory management processes and enhance efficiency. The motivation behind this project stems from the limitations of manual inventory management systems, including errors, lack of real-time information, and security vu...

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Main Author: Azmi, Muhammad Hafizudin
Format: Student Project
Language:English
Published: 2024
Subjects:
Radio frequency identification systems
Just-in-time systems
Online Access:https://ir.uitm.edu.my/id/eprint/99771/1/99771.pdf
https://ir.uitm.edu.my/id/eprint/99771/
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spelling my.uitm.ir.997712024-12-17T17:44:46Z https://ir.uitm.edu.my/id/eprint/99771/ IoT integrated advanced inventory management system / Muhammad Hafizudin Azmi Azmi, Muhammad Hafizudin Radio frequency identification systems Just-in-time systems This study proposed an IoT-based smart inventory system designed to streamline inventory management processes and enhance efficiency. The motivation behind this project stems from the limitations of manual inventory management systems, including errors, lack of real-time information, and security vulnerabilities. The problem statement revolves around the need for an automated and secure inventory management solution. The objectives of the project are to automate inventory processes, provide real- time monitoring, prevent overloading, enable remote access, and enhance inventory security. The system includes RFID technology, motion and weight sensors, WiFi, a motor, an LCD display, and alert systems. These components are integrated into a cohesive system. RFID tracks items, motion sensors detect insects, weight sensors prevent overloading, WiFi enables remote monitoring, the motor controls the inventory door, and the LCD display shows stock levels. The alert systems notify users of insects and overloading. The results demonstrate successful implementation, enabling automated inventory management, real time monitoring, and remote data access. The system effectively detects insect presence and prevents overloading, ensuring inventory stability and safety. The study's novelty lies in the integration of multiple IoT components into a comprehensive inventory management system where it revolutionizes traditional inventory management with its IoT-based smart inventory system. It boosts efficiency, minimizes errors, and empowers businesses with real-time monitoring and automated features. Ultimately, it improves productivity and profitability, offering a novel solution to inventory management challenges. 2024 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/99771/1/99771.pdf IoT integrated advanced inventory management system / Muhammad Hafizudin Azmi. (2024) [Student Project] (Unpublished)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Radio frequency identification systems
Just-in-time systems
spellingShingle Radio frequency identification systems
Just-in-time systems
Azmi, Muhammad Hafizudin
IoT integrated advanced inventory management system / Muhammad Hafizudin Azmi
description This study proposed an IoT-based smart inventory system designed to streamline inventory management processes and enhance efficiency. The motivation behind this project stems from the limitations of manual inventory management systems, including errors, lack of real-time information, and security vulnerabilities. The problem statement revolves around the need for an automated and secure inventory management solution. The objectives of the project are to automate inventory processes, provide real- time monitoring, prevent overloading, enable remote access, and enhance inventory security. The system includes RFID technology, motion and weight sensors, WiFi, a motor, an LCD display, and alert systems. These components are integrated into a cohesive system. RFID tracks items, motion sensors detect insects, weight sensors prevent overloading, WiFi enables remote monitoring, the motor controls the inventory door, and the LCD display shows stock levels. The alert systems notify users of insects and overloading. The results demonstrate successful implementation, enabling automated inventory management, real time monitoring, and remote data access. The system effectively detects insect presence and prevents overloading, ensuring inventory stability and safety. The study's novelty lies in the integration of multiple IoT components into a comprehensive inventory management system where it revolutionizes traditional inventory management with its IoT-based smart inventory system. It boosts efficiency, minimizes errors, and empowers businesses with real-time monitoring and automated features. Ultimately, it improves productivity and profitability, offering a novel solution to inventory management challenges.
format Student Project
author Azmi, Muhammad Hafizudin
author_facet Azmi, Muhammad Hafizudin
author_sort Azmi, Muhammad Hafizudin
title IoT integrated advanced inventory management system / Muhammad Hafizudin Azmi
title_short IoT integrated advanced inventory management system / Muhammad Hafizudin Azmi
title_full IoT integrated advanced inventory management system / Muhammad Hafizudin Azmi
title_fullStr IoT integrated advanced inventory management system / Muhammad Hafizudin Azmi
title_full_unstemmed IoT integrated advanced inventory management system / Muhammad Hafizudin Azmi
title_sort iot integrated advanced inventory management system / muhammad hafizudin azmi
publishDate 2024
url https://ir.uitm.edu.my/id/eprint/99771/1/99771.pdf
https://ir.uitm.edu.my/id/eprint/99771/
_version_ 1818838319906160640
score 13.22586

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