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Smart Factory Models Using Emerging Engineering Technologies

Author(s) Prof. Jerzy Baranowski
Country Poland
Abstract Smart factories represent an important stage in the transformation of modern industrial production, integrating emerging engineering technologies with interconnected manufacturing systems to improve productivity, flexibility, quality, sustainability, reliability, and operational intelligence. Conventional factories frequently depend on isolated machines, periodic maintenance, manual inspection, fixed production schedules, and limited real-time information. Smart factory models replace these limitations with interconnected cyber-physical production environments in which industrial Internet of Things devices, artificial intelligence, machine learning, robotics, digital twins, cloud and edge computing, advanced analytics, additive manufacturing, automated quality inspection, and intelligent control systems operate together. This study examines smart factory models using emerging engineering technologies and proposes an integrated conceptual framework for designing intelligent and adaptive manufacturing environments. A conceptual descriptive research design was adopted using secondary literature related to smart manufacturing, Industry 4.0, cyber-physical systems, industrial IoT, artificial intelligence, machine learning, digital twins, robotics, predictive maintenance, additive manufacturing, industrial cybersecurity, sustainable production, and engineering optimization.
The analysis identifies interconnected sensing, real-time data acquisition, intelligent analytics, predictive maintenance, automated production, intelligent quality management, digital simulation, energy optimization, cybersecurity, and continuous learning as the principal components of smart factory systems. The proposed smart factory model begins with industrial requirement assessment, followed by sensor integration, data acquisition, data preprocessing, intelligent analytics, digital modeling, automated engineering decisions, production implementation, real-time monitoring, performance evaluation, and adaptive optimization. The findings indicate that smart factory technologies can improve production efficiency by providing continuous visibility into machines, materials, processes, and product quality. Industrial IoT systems enable machines to communicate operational information, allowing engineers to monitor equipment conditions and production performance in real time. Artificial intelligence can analyze this information to identify patterns, forecast equipment failures, optimize production parameters, and support decision-making.
Keywords : Smart Factory, Emerging Engineering Technologies, Industry 4.0, Industrial IoT, Artificial Intelligence, Digital Twins, Robotics, Predictive Maintenance, Smart Manufacturing, Industrial Automation, Cyber-Physical Systems
Field Engineering
Published In Volume 3, Issue 4, July-August 2021
Published On 2021-08-30
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