American International Journal of Advanced Research and Development

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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Smart Production Systems for Efficient Industrial Management

Author(s) Walther Azzolini Júnior
Country Brazil
Abstract The increasing complexity of industrial operations has created a growing need for production systems that can integrate real-time information, intelligent decision-making, automation, and resource optimization. Smart production systems provide an advanced framework for improving industrial management through the integration of Industrial Internet of Things technologies, artificial intelligence, machine learning, robotics, digital twins, advanced analytics, and cyber-physical production systems. This study examines smart production systems for efficient industrial management using a qualitative descriptive and conceptual research design based on secondary academic literature. The study focuses on intelligent production planning, real-time process monitoring, predictive maintenance, quality management, resource optimization, production scheduling, and data-driven managerial decision-making.
The analysis indicates that smart production systems can improve operational visibility, production flexibility, equipment utilization, process reliability, and resource efficiency. Real-time data integration enables managers and engineers to identify process deviations and respond more rapidly to changing production conditions. Intelligent predictive models can further support proactive maintenance and quality management. However, challenges related to data quality, technological integration, cybersecurity, investment requirements, interoperability, and workforce capabilities can restrict implementation. The study concludes that efficient industrial management requires an integrated smart-production framework in which digital technologies complement engineering expertise and managerial decision-making. Future research should emphasize adaptive production systems, explainable industrial artificial intelligence, autonomous decision support, human-machine collaboration, sustainable production, and secure digital infrastructures.
Keywords Smart Production Systems, Industrial Management, Smart Manufacturing, Industrial IoT, Artificial Intelligence, Production Optimization, Predictive Maintenance, Digital Twins, Industrial Automation, Resource Efficiency.
Field Engineering
Published In Volume 4, Issue 2, March-April 2022
Published On 2022-04-29

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