What are the technologies and concepts related to industry 4.0 in manufacturing companies?
Industry 4.0, also known as the fourth industrial revolution, introduces a suite of technologies and concepts aimed at revolutionizing manufacturing companies. Central to this transformation are digitalization and connectivity, which enable a more flexible, efficient, and sustainable production environment. Key technologies include the Internet of Things (IoT), which allows for the interconnectivity of machines, products, and systems, facilitating real-time data exchange and monitoring for improved decision-making and efficiency . Cloud computing, big data analytics, and artificial intelligence (AI) are also pivotal, offering the computational power and intelligence needed for processing vast amounts of data, thus enhancing operational efficiency and enabling predictive maintenance . Additive manufacturing, or 3D printing, represents another critical technology, allowing for mass customization and on-demand production, which significantly contributes to resource efficiency and flexibility in manufacturing processes . Cyber-Physical Systems (CPS) integrate physical processes with computation and networking, providing the foundation for advanced automation and real-time data processing capabilities essential for Industry 4.0 . The concept of smart manufacturing underpins these technologies, focusing on cost-effective, highly optimized production through the use of smart systems and connected technologies . This approach not only aims at enhancing productivity but also at achieving sustainability by minimizing waste and energy use . Moreover, the digital transformation facilitated by Industry 4.0 technologies requires a cultural shift within organizations, emphasizing the need for businesses to adapt their operations and business models to leverage digital solutions effectively . Furthermore, Industry 4.0 technologies provide opportunities for generating new revenue streams through data-driven services and improving customer satisfaction through personalized and efficient product offerings . The integration of information systems plays a crucial role in this transformation, ensuring easy access to and distribution of data, thereby supporting technological integration and efficient service management . In summary, Industry 4.0 in manufacturing encompasses a broad array of technologies and concepts, including IoT, cloud computing, big data, AI, additive manufacturing, and CPS, all aimed at driving digital transformation, enhancing flexibility, and promoting sustainable development .
Answers from top 7 papers
Papers (7) | Insight |
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1 Citations | Industry 4.0 in manufacturing involves integrating digital technologies, cultural changes, workforce expansion, and transforming business processes and models through digital solutions for improved production enterprises. |
Industry 4.0 technologies in manufacturing include Cyber-Physical Systems, Big Data analytics, and autonomous/industrial robots, as identified by a framework utilizing FAHP and FTOPSIS methods. | |
Technologies related to Industry 4.0 in manufacturing include Cloud, IoT, big data, and artificial intelligence, driving a flexible, connected factory for enhanced competitiveness and growth. | |
The study highlights the importance of Industry 4.0 technologies in manufacturing, emphasizing additive manufacturing (AM) as a key technology for enhancing global competitiveness. | |
Industry 4.0 technologies in manufacturing include IoT, reverse engineering, and additive manufacturing. They enhance resource efficiency, transparency, and customer satisfaction while enabling customized product delivery. | |
Industry 4.0 technologies in manufacturing include sensors, IoT, CPS, cloud concepts, additive manufacturing, and autonomous robots, enhancing flexibility and operational efficiency in production systems. | |
Smart systems and connected technologies drive Industry 4.0 in manufacturing, enabling virtual monitoring, innovation testing, and enhanced profits. Barriers to adoption are identified, emphasizing the need for process adjustments. |