Exploring the Role of Arduino in Industry 4.0 for Semiconductor Manufactory

Abstract

The Internet of Things and Artificial Intelligence are key technologies in Industry 4.0 that improve efficiency, productivity, and quality control. In semiconductor manufacturing, equipment often uses the Programmable Logic Controller as the main controller. The communication is based on the standard protocol defined by the Semiconductor Equipment Materials Initiative organization. The problems addressed by this study were the high cost and inflexibility of using traditional Programmable Logic Controllers to develop IoT devices for Industry 4.0. The purpose of this study was to investigate the feasibility of using an alternative low-cost and easy-to-program Arduino controller. In this study, the author applied constructive research to explore the feasibility. Arduinos have been used in many IoT devices; however, IoT connectivity has yet to be adequately defined for industrial applications. The researcher exploited numerous theoretical frameworks developed during the Industry 4.0 revolution to synthesize empirical findings and contextualize the study, making it relevant to the established idea of using Arduino-based IoT that could be integrated with existing semiconductor networks like other systems. The findings formulated the key lessons that helped find effective strategies for developing Arduino-based IoT, which addressed the challenges of Industry 4.0 transitions. The outcomes embraced theoretical and practical implications that significantly impact the IoT's assessment, procurement, and perception. The researcher demonstrated that Arduino devices could be used in industrial applications for various purposes, including automation, monitoring, control, and data collection. The author articulated that future research should focus on implementing a security mechanism for the protocol to secure data in communications and making Arduino-based IoT for industrial use, with high reliability, ruggedness, and the ability to work in harsh environments.