RFID-based tracking and monitoring approach of real-time data in production workshop

Abstract

Purpose In practical workshop production process, there are many production emergencies, e.g. new manufacturing tasks, facilities failure and tasks change. On one hand, it results in poor timeliness and reliability of real-time production data collection, acquisition and transmission; on the other hand, it increases the difficulty of real-time data tracking and monitoring. This paper aims to develop a novel RFID-based tracking and monitoring approach of real-time data in production workshop (TMrfid) to solve them. Design/methodology/approach At first, a three-layer model of real-time data based on RFID has been constructed, which contains RFID-based integrated acquisition center; “RFID & Cloud-service-rules”-based calculation and analysis center; and “RFID & Ontology-knowledge-base”-based monitoring and scheduling center. Then, a targeted analysis and evaluation method of TMrfid with feasibility, quality and performance has been proposed. Finally, a prototype platform of a textile machinery manufacturing enterprise has been built to verify the effective of TMrfid. Findings The effectiveness of TMrfid is verified by applying two groups of actual experimental data from the case enterprise, the results show that TMrfid can promote the efficiency, reliability and feasibility of tacking and monitoring of real-time data in production workshop. Originality/value RFID-based tracking and monitoring approach of real-time data in production workshop has been developed to solve the data information transmission and sharing problem. Three analysis and evaluation approaches have been introduced to solve the un-standardized evaluation problem of RFID application. A prototype platform of a textile machinery manufacturing enterprise has been constructed.

Virtual Segments Formation of Administrative Apparatus of an Industrial Enterprise

“…At the basic level, the mechanism of knowledge accumulation is implemented by mass data accumulation concerning material flow movement in the interaction process of virtual enterprises (agents). On the basis of algorithms for processing large data sets [7,8], stable structures (tuples) are identified, the aggregation of which allows to form a structure containing knowledge concerning material flow movement. At the second level, functional business process models cover all stages of the product lifecycle.…”

“…Nowadays, various DataMininng technologies focused on processing large amounts of data (BigDate) are being intensively developed. In works [7,8] methods and algorithms of the BigDate class used for processing of the information received during the implementation of a production technological cycle are presented. The practical implementation result of the algorithms presented in [7,8] are knowledge-generating subsystems (DataMininng).…”

Smart cyber-physical production system enabled workpiece production in digital twin job shop

“…The ability of RFID to obtain data on physical processes ensures that the production control system can accurately track the production process in real time. 44 According to the description of Industry 4.0, the realization of the process level production should include three stages at least: (1) the manufacturing requirements of the workpiece are sent to corresponding machining workstation. This can be implemented at process level using the RFID tag of the workpiece and smart conveying system; (2) the machine tool cooperates with other manufacturing resources to complete the machining tasks at operation level; (3) the production procedure is tracked and monitored by sensors.…”

A Generic Asset Model for Implementing Product Digital Twins in Smart Remanufacturing

“…Location, and or, readiness of the of asset when it reaches EoL can be supported by the integration of RFID tags and sensors read by mobile data systems Wi-Fi or GPS to support traceability of return ows [6,102] or inventory through the remanufacturing process [103,76,104]. The asset locating data can ow into the DT to allow for earlier purchasing and process management decisions.…”