2024· International Journal of Modern Innovations and Emerging Trends· Vol 7, pp. 01-16· 0 citations
TL;DR
Improvements in product quality, operational efficiency, maintenance accuracy, and cost reduction are demonstrated, highlighting Digital Twins as a key enabler of smart manufacturing and Industry 4.0.
Abstract
Digital Twin (DT) technology enables real-time virtual representations of physical systems, transforming modern product engineering. By integrating Artificial Intelligence (AI), the Internet of Things (IoT), cloud computing, and big data analytics, Digital Twins enhance product design, manufacturing, predictive maintenance, and lifecycle management. This paper reviews recent advancements, industrial applications, and implementation approaches of Digital Twin systems while proposing an AI-enabled framework for real-time monitoring, simulation, and optimization. The findings demonstrate improvements in product quality, operational efficiency, maintenance accuracy, and cost reduction, highlighting Digital Twins as a key enabler of smart manufacturing and Industry 4.0. Future developments in edge computing and generative AI are expected to further expand their capabilities.
The research paper presents a Digital Twin architecture powered by AI for improving production processes in manufacturing environments with Industry 4.0 technology that integrates IoT-enabled data collection, machine learning algorithms, forecasting technologies, simulating, and intelligent decision-making levels with...
Virendra Gomase· Journal of Intelligent Decis...· 0 citations
In contemporary competitive marketplaces, where mass customisation of products and the increasing significance of software components pose new obstacles, digitalisation in production is perceived as an opportunity for product customisation and enhanced productivity. Digital technologies, referred to as Industry 4.0 tec...
N. Mulongo· International Symposium on N...· 0 citations
A digital twin-inspired optimization model, which combines real-time sensor measurements with smart decisions to improve operational efficiency, is introduced, which provides a high-scaled and realistic approach to intelligent, data-driven manufacturing systems that align with the Industry 4.0 paradigms.
A. K. Jain· Materials Research Proceedin...· 0 citations
This research contributes to the advancement of smart manufacturing by delivering a holistic roadmap for effective and scalable Industry 4.0 implementation, supporting cross-sector benchmarking, interdisciplinary collaboration, and strategic innovation to accelerate the transition of manufacturing enterprises toward di...
Smart manufacturing represents the confluence of digital transformation and
industrial evolution, redefining manufacturing paradigms through seamless integration,
artificial intelligence (AI)-driven intelligence, and continuous innovation. This paper
explores the future development of smart manufacturing, highlighting...
Vidosav Majstorović· SMART MANUFACTURING ON THE H...· 0 citations
Recent advances in Digital Twin technology focus on visualization, operator training, and real-time machine simulation, aligning with the Industry 4.0 paradigm. However, the transition toward Industry 5.0 demands human-centric approaches that integrate workers not merely as observers but as active, monitorable parts of...
Francesco Biondani, Luigi Capogrosso, Francesco Tosoni et al.· Computers· 0 citations
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