Process monitoring is a major focus on improving productivity of discrete manufacturing. With the recent application of new technologies such as radio frequency identification to manufacturing process, real-time production information has become available for decision support in manufacturing system. This study presents a radio frequency identification–based visibility monitoring rule for tracking work-in-process. Specific to the aviation manufacturing shop floor, a case study for demonstration is designed. The value of radio frequency identification–enabled real-time information is investigated within the discrete manufacturing operation. For this purpose, a simplified simulation model is developed to test the benefit of radio frequency identification–based rule compared to the classical scheduling rule. The results indicate that the adoption of radio frequency identification brings better production performance.

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Development of Internet of Things has made a profound impact on monitoring of traditional discrete manufacturing process. Specific to solve the needs for monitoring of discrete manufacturing process, a system for demonstration is designed. In this study, through adoption of RFID technology, the layered RFID information processing architecture is proposed. For the discrete manufacturing, design a physical model for experimental platform, discuss the RFID-based analysis model for the processing progress, give the structure of system functions, and analyze the logic of process monitoring. Ultimately, based on the RFID information processing architecture and design, develop a system for monitoring of discrete manufacturing process, make people intuitively understand production process of the discrete manufacturing based on Internet of Things, and provide a solution for the application of RFID technology in the discrete manufacturing domain.

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Absfract -This paper attempts to illustrate the requirements and problem definitions of computer integrated processes systems (CIPS) for continuous manufacturing industries. .4n integrated distributed intelligent platform of software systems that supports the process design, operation, management and equipment maintenance is addressed. Its architecture, characteristics and hnctions are discussed. The structure and hnctions of the metasystem (which controls and manages the IDIP) are presented. The paper includes eight sections. Section 1 discusses the need to develop computer integrated process systems in continuous manufacturing industries. Section 2 analyzes the real problems existing in continuous manufacturing industries. In section 3, we discuss the distinctions between CIMS (Computer Integrated Manufacturing Systems) in discrete manufacturing and CIPS (Computer integrated Process Systems) in continuous manufacturing, and analyzes the CIPS characteristics. Section 4 discusses the objectives of the strategic grant. Section 5 presents the structure and functions of an integrated distributed intelligent platform of software systems and presents its features and requirements. The meta-system structure and functions are introduced in section 6 and 7. Finally, we present a few developing research projects (functional subsystems) to support the implementation of CIPS strategy and applications of IDIP.