Optimizing Warehouse Operations in Bangladesh: Leveraging IoT and Cloud Migration for Enhanced Security and Efficiency
The traditional warehouse management systems (WMS) face challenges in providing accurate insights into the lifespan of perishable items such as fruits. This deficiency hampers the ability to efficiently manage inventory turnover and minimize food wastage. In this paper, we examine the limitations of traditional WMS and the lack of analytics regarding food waste. To address these issues, we utilize Internet of Things (IoT), Encryption and Cloud-based WMS solutions, specifically the Amazon Web Services (AWS) cloud platform. This study focuses on exploring the potential of Encrypted IoT data and cloud computing in automating warehouse supply chain management and ensuring additional layers of security while data is being transferred and stored over cloud. Through experiments and analysis, we aim to obtain valuable insights into the lifespan of fruits within the context of a IoT-Cloud based WMS. By adopting cloud services, we automate and streamline the data collection processes, enabling real-time visualization of warehouse operations. Additionally, the cloud infrastructure facilitates seamless connectivity between different components of the warehouse system, allowing for efficient information exchange and improved overall operational efficiency and security. By integrating the cloud services into IoT based encryption and data collection, we address the limitations of traditional systems. We use cloud-based services to gather and analyze real time data on factors such as gas emission, temperature, humidity, and handling conditions. This data-driven approach enables proactive decision-making, optimizing inventory management and minimizing food waste.
Authors
- Saadia Binte Alam
- Riyad Hossain
- T. Hossain (ORCID: https://orcid.org/0009-0005-9615-3646)
- Rubaiyat Islam (ORCID: https://orcid.org/0000-0003-4024-6462)
Institutions
- Independent University, Bangladesh (BD)
- World University of Bangladesh (BD)
Publication Details
- Published
- 2024-08-19
- DOI
- https://doi.org/10.1109/ficloud62933.2024.00061
- Citations
- 2
- Primary Topic
- Advanced Manufacturing and Logistics Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.70