Paper Contents
Abstract
This extensive literature study explores advancements in autonomous resource allocation, RFID technologies, IoT-driven machinery management, and labour management within construction and industrial environments. The study examines innovative approaches such as decentralized resource management systems, the integration of deep reinforcement learning for project optimization, and RFID for efficient materials tracking. Emphasis is placed on the challenges and solutions across these domains, including scalability, interoperability, and the adoption of emerging technologies to enhance productivity. The findings underline the transformative potential of digital tools and intelligent systems in addressing inefficiencies and promoting sustainable practices in construction and related industries.
Copyright
Copyright © 2025 Vignesh S. This is an open access article distributed under the Creative Commons Attribution License.
