Integrating RFID, web-based technology, and artificial intelligence in engineering management

Radio frequency identication (RFID) technology is emerging as an important technology for improving management eciency. Web-Based Systems (WBS) are particularly useful for managing operations spread over multiple locations. Articial Intelligence (AI) can be used to process uncertain and incomplete information which inevitably occurs in the real world. This study aims to enhance managerial eciency through the integration of RFID, web-based technologies, and articial intelligence. RFID is primarily used to identify managerial objects, while web-based technology is used for data management, and AI is used to analyze the collected data. A real case is used to validate the applicability of the proposed method. Experimental results show that the integration of RFID, webbased systems, and AI can be eectively applied in a practical environment. The proposed method can improve managerial eciency, data transfer, data quality, and service process time. This study is one of the rst to investigate the integration of RFID technology with web-based technology and AI.