RFID-Enabled Physical Object Tracking in Process Flow Based on an Enhanced Graphical Deduction Modeling Method

The purpose of this paper is to develop an enhanced radio frequency identification (RFID)-enabled graphical deduction model (rfid-GDM) for tracking the time-sensitive state, position, and other attributes of RFID-tagged objects in process flow. Concepts and definitions related to processes and RFID applications are first clarified, and enhanced state blocks are proposed to depict four kinds of RFID application scenarios. The implementation framework of rfid-GDM and its five steps are further addressed. Both mathematical formalization and graphical description of each step are involved. Finally, a case is studied to verify the feasibility of rfid-GDM. It is expected that rfid-GDM will provide instructions for modeling and tracking RFID-enabled process flows in diverse fields.