BUILDING A PRACTICAL MODEL SYSTEM OF SMART FACTORY APPLIED IN TRAINING AND RESEARCH DEVELOPMENT

Abstract

This research paper is groundbreaking in its approach to the design and construction of a practical model for a smart factory, not only from a research
perspective but also in terms of practical applications in education and industrial development. The combination of the Modular Production System (MPS) and
new technologies such as image processing, IoT, and cloud computing opens up numerous potentials and opportunities for optimizing production processes.
This system is capable of collecting data from sources like PLCs, sensors, and high-resolution cameras to detect, analyze, and monitor the product manufacturing
process. By combining actuators and smart devices through IoT, the data is transmitted to a cloud computing platform for management. This enables flexible
data storage and processing, enhances the scalability of the IT infrastructure, and supports improvements in factory performance. The design, manufacturing,
assembly, and testing processes have been successfully completed, yielding positive and effective results for research and development of the smart factory
model, in alignment with Industry 4.0. This system integrates artificial intelligence, deep learning, image processing, and IoT and has been developed into
comprehensive and effective teaching modules for use in universities and colleges.