INTERNET OF THINGS (IOT) BASED SUPPLY CHAIN MANAGEMENT SYSTEM FOR REAL-TIME TRACKING, OPTIMIZATION A

Abstract

7. ABSTRACT OF THE FNVENTION( to be given along with complete specification on separate page) ABSTRACT This invention relates to an Internet of Things (IoT) based supply chain management system designed to enhance the visibility, efficiency and automation of supply chain processes. The system integrates IoT-enabled devices such as sensors, RFID tags and GPS units with a centralized cloud-based platform. It facilitates real-time monitoring of goods, predictive analytics for demand forecasting, and automated decision-making for inventory management and logistics. The invention aims to reduce costs, minimize delays, and improve the overall reliability of supply chain operations. Dated this 23rd day of October 2024 Signature:- Name of the signatory:- Dr.A.Ponnusamy PRINCIPAL Hindusthan College of Arts & Science (Autonomous). Hindusthan Gardens, Behind Nava India, Coimbatore - 641 028.

Specification

FORM 2
THE PATENT ACT 1970
(39 OF 1970)
&
The Patents Rules, 2003
PROVISIONAL / COMPLETE SPECIFICATION
(See Section 10 and rule 13)

1. TITLE OF THE INVENTION
Internet of Things (IoT) Based Supply Chain Management System for Real-Time Tracking,
Optimization and Automation

2. APPLICANT(S)
a) NAME : HINDUSTHAN COLLEGE OF ARTS & SCIENCE
b) NATIONALITY:INDIAN
c) ADDRESS: HINDUSTHAN COLLEGE OF ARTS & SCIENCE, COIMBATORE 28
3. PREAMBLE TO THE DESCRIPTION
PROVISIONAL COMPLETE
The following specification particularly
describes the invention and the manner in which
it is to be performed.
4. DESCRIPTION (Description shall start from next page.)

Internet of Things (IoT) Based Supply Chain Management System for Real-Time Tracking,
Optimization and Automation

Field of the Invention
Computer Science application in Management
Background of the Invention Supply chain management has traditionally relied on manual processes, leading to inefficiencies, delays and inaccuracies in inventory and logistics. With the advent of IoT technology, there is an opportunity to transform supply chain management through real-time data collection, predictive analytics and automation. This invention addresses these challenges by providing a comprehensive IoT-based solution.

Summary of the Invention
The invention provides a system and method for managing supply chain operations through the integration of IoT devices and cloud-based software. The system collects data from various IoT sensors deployed at different points in the supply chain, including warehouses, transportation
vehicles and retail stores. This data is transmitted in real-time to a central platform where it is analyzed to provide insights, automate inventory replenishment, optimize routing and predict potential disruptions.

Detailed Description of the Invention
System Architecture
1. IoT Devices:
Sensors: Deployed in warehouses and on goods to monitor environmental conditions (temperature, humidity) and movement.
RFID Tags: Attached to products and pallets to track their location and status throughout the
supply chain.
GPS Units: Installed in transportation vehicles for real-time location tracking and route
optimization.

2. Communication Network:
Protocols: The system utilizes a combination of wireless communication protocols such as Wi-Fi,
Bluetooth, LoRa, and cellular networks for data transmission.
Data Encryption: Data transmitted by IoT devices is encrypted using secure protocols to prevent
unauthorized access.

3. Cloud-Based Platform:
Data Storage: A cloud-based database stores all incoming data from IoT devices.
Data Analytics: Advanced analytics tools, including machine learning algorithms, analyze the
data for pattern recognition, demand forecasting, and anomaly detection.
User Interface: A web-based dashboard provides supply chain managers with real-time insights,
alerts, and control options.

4.
Software Components:
Inventory Management Module: Automatically updates inventory levels based on real-time data from sensors and RFID tags.
Predictive Analytics Module: Uses historical data and real-time inputs to forecast demand, optimize inventory levels, and suggest replenishment schedules.
Logistics Optimization Module: Analyzes GPS data to optimize delivery routes, minimize fuel consumption, and reduce delivery times.

5.Operational Workflow
1. Data Collection:
• IoT sensors continuously monitor the conditions of goods in storage and transit, reporting data to the cloud platform.
• RFID tags and GPS units provide location and movement data for goods and vehicles.

2. Data Processing:
.The cloud platform aggregates and processes the data to detect trends, forecast demand, and identify potential disruptions in the supply chain.
3. Decision-Making and Automation:
Based on the analyzed data, the system can automatically reorder stock, reroute shipments, or adjust storage conditions to prevent spoilage or damage.
4. User Interaction:
Supply chain managers access the system via a dashboard to monitor real-time operations, receive alerts, and intervene when necessary.

6. Drawings
System Diagram: A block diagram showing the integration of IoT devices, communication networks, and the cloud-based platform.
Flowchart: A flowchart depicting the data collection, transmission, processing, and decisionmaking process within the system.
Detailed Schematics: Detailed schematics of specific components, such as the sensor network in a warehouse or the GPS tracking in transportation vehicles.

5.
CLAIMS (not applicable for provisional specification. Claims should start with the preamble - "I/We claim" on separate page)
We claim:
Claim 1: A system for managing supply chain operations comprising:
• A plurality of IoT devices configured to monitor goods in storage and transit,
• A communication network for transmitting data from the IoT devices,
• A cloud-based platform for aggregating and analyzing data and
• Software modules for inventory management, logistics optimization, and predictive analytics.

Claim 2: The system of claim 1, wherein the IoT devices include temperature and humidity sensors for monitoring environmental conditions.
Claim 3: The system of claim 1, wherein the communication network comprises a combination of Wi-Fi, Bluetooth, LoRa, and cellular networks.

Claim 4: The system of claim 1, wherein the cloud-based platform utilizes machine learning algorithms for demand forecasting and anomaly detection.

Claim 5: The system of claim 1, further comprising an automated decision-making module that triggers inventory replenishment and route optimization based on real-time data analysis.

Claim 6: The system of claim 1, wherein the platform provides a web-based user interface for real-time monitoring and control of supply chain operations.

6. DATE AND SIGNATURE (to be given at the end of last page of specification)

Dated this 23rd day of October 2024

S Signature:- Name of the signatory:- Dr.A.Ponnusamy
PRINCIPAL
Hindusthan College of Arts & Science (Autonomous). Hindusthan Gardens, Behind Nava India, Coimbatore - 641 028.

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