The primary objective of this project is to explore how RFID (Radio Frequency Identification) and IoT (Internet of Things) technologies can optimize warehouse operations by improving inventory accuracy, reducing manual errors, and enhancing real-time tracking. The goal is to enhance efficiency, reduce operational costs, and streamline warehouse management processes.
Inventory mismanagement, leading to stock discrepancies and delays.
Manual tracking errors, causing inefficiencies and increased labor costs.
Slow order fulfillment, reducing customer satisfaction.
Lack of real-time visibility, making it difficult to track assets and shipments.
Without automation and real-time data insights, warehouses struggle with inefficiencies, increased costs, and reduced productivity.
Analyze warehouse inefficiencies and identify key problem areas.
Understand RFID and IoT technologies and their role in warehouse management.
Develop a warehouse optimization framework integrating RFID/IoT for better inventory tracking.
Evaluate cost-benefit implications of adopting these technologies.
Propose an implementation strategy for businesses to enhance warehouse efficiency and reduce costs.
Conduct a literature review on RFID and IoT applications in warehouse management.
Study real-world case studies of companies using RFID and IoT for optimization.
Identify key challenges in warehouse operations (inventory errors, delays, high costs).
Map the current warehouse workflow and identify inefficiencies.
Assess inventory tracking methods (manual vs. automated).
Evaluate the impact of misplaced stock, tracking errors, and fulfillment delays.
Develop a framework for implementing RFID and IoT in a warehouse.
Explore different RFID systems (passive vs. active tags) and their suitability.
Analyze the role of IoT sensors, cloud platforms, and real-time dashboards.
Conduct a cost-benefit analysis of implementing RFID and IoT.
Identify return on investment (ROI) metrics for technology adoption.
Assess potential challenges (integration, infrastructure, security concerns).
Compile findings into a detailed project report.
Develop a presentation summarizing key insights, technology solutions, and recommendations.
Present findings to faculty/industry mentors for feedback.
