Integrating RFID, Web-Based Technology, and Artificial Intelligencein Engineering Management

Author

Department of Civil Engineering National Pingtung University of Science and Technology 1, Shuefu Road, Neipu, Pingtung 91201, Taiwan

Abstract

Radio frequency identification (RFID) technology is emerging as an important technology for improving management efficiency. Web-based systems (WBS) are particularly useful for managing operations spread over multiple locations. Artificial intelligence (AI) can be used to process uncertain and incomplete information which inevitably occurs in the real world. This study aims to enhance managerial efficiency through the integration of RFID, web-based technologies, and artificial 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, web-based systems, and AI can be effectively applied in a practical environment. The proposed method can improve managerial efficiency, data transfer, data quality, and service process time. This study is one of the first to investigate the integration of RFID technology with web-based technology and AI.  

Keywords