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Integration of IoT technology in lean manufacturing for real-time supply chain optimization
1 College of Business, MBA, Auburn University Alabama, USA.
2 Faculty of Business and Technology, Marketing and supply chain management, East Tennessee state University, USA.
3 Darla Moore School of Business, International MBA, University of South Carolina, USA.
4 Kogod School of Business, Master’s in business administration, American University USA.
5 Business Management & Administration, Robert H. Smith School of Business, University of Maryland, College Park, USA.
Research Article
International Journal of Science and Research Archive, 2024, 12(02), 1948–1957.
Article DOI: 10.30574/ijsra.2024.12.2.1498
Publication history:
Received on 01 July 2024; revised on 13 August 2024; accepted on 15 August 2024
Abstract:
The rise of the Internet of Things (IoT) has transformed manufacturing and supply chain management. This article examines how IoT integration in lean manufacturing significantly enhances real-time supply chain optimization. Lean manufacturing aims to reduce waste and increase efficiency, making it a perfect match for IoT technology, which connects devices and systems for real-time data collection and analysis. The paper explores various applications of IoT in lean manufacturing, such as predictive maintenance, real-time inventory management, quality control, energy efficiency, sensor technology, data analytics, and cloud computing, it further elucidates how manufacturers can achieve enhanced supply chain visibility, reduced waste, improved quality, and increased agility. Predictive maintenance uses IoT sensors to monitor equipment, allowing maintenance to be performed only when necessary, reducing downtime and extending equipment life. Real-time inventory management tracks stock levels and movements with IoT sensors and RFID tags, ensuring optimal inventory levels and reducing excess stock. IoT also enhances quality control by detecting defects in real-time and enabling immediate corrective actions. Energy efficiency is improved through IoT technology that monitors and optimizes energy usage, reducing costs and environmental impact. Additionally, IoT provides end-to-end visibility and transparency across the supply chain, facilitating better decision-making and coordination. The article includes detailed analysis and case studies demonstrating how IoT-driven innovations lead to improved operational efficiency, cost reduction, and better overall supply chain performance. It also addresses the challenges and ethical considerations of IoT implementation, such as data security, privacy concerns, and the potential impact on the workforce. Finally, the article offers insights into future trends and advancements in IoT technology, highlighting its potential to further revolutionize lean manufacturing and supply chain management. By embracing IoT, companies can not only streamline their operations but also gain a competitive edge in a rapidly evolving marketplace. The integration of IoT with lean principles allows for more adaptive and resilient supply chains, which are crucial in today’s dynamic business environment. As technology continues to advance, the opportunities for IoT to drive innovation and efficiency in manufacturing and supply chains will only grow, making it a key area of focus for future research and development.
Keywords:
Internet of Things (IoT); Lean Manufacturing; Real-time Optimization; Supply chain; Data Analytics
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
