Discrete-Event Shop-Floor Monitoring System in RFID-Enabled Manufacturing

Hu, Jinwen; Lewis, Frank L.; Gan, Oon Peen; Phua, Geok Hong; Aw, Leck Leng

doi:10.1109/tie.2014.2314068

Cited by 28 publications

(7 citation statements)

References 22 publications

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“…To increase the efficiency from aspects of resource and cost, there is a need to further analyze the collected data. Although several studies have proposed RFID-IoT data processing and sharing solutions in supply chain, cost of computing and efficiency of storage are always neglected (Hu et al, 2014;Wang et al, 2014). Fortunately, with the emergence of cloud technology in these days, cloud provides an accessible platform of ondemand computing microservices especially on data exchanging and integration with other system in lower cost.…”

Section: Current Challenge and Future Potential Of Rfid-iotmentioning

confidence: 99%

Survey of RFID-IoTin Supply Chain Management

et.al¹

2021

TURCOMAT

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Radio frequency identification (RFID) has been identified as one of the emerging technologies in supply chain management. With the integration of RFID with internet of things (IoT), called RFID-IoT has bring the advancement of support chain management (SCM) to the automated sensing, pervasive computing and ubiquitous data access by manufacturer, distributor, retailer and even consumer. This paper intended to introduce the concept of RFID-IoT technology in SCM, recent application in SCM such as identification, monitoring, process enhancement, logistic tracking, product quality and analyze the current challenges and future potential of RFID-IoT technology. In future, RFID-IoT is expected to be integrated with other technologies to produce a comprehensive solution in SCM.

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Section: Current Challenge and Future Potential Of Rfid-iotmentioning

confidence: 99%

Survey of RFID-IoTin Supply Chain Management

et.al¹

2021

TURCOMAT

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“…An event-driven shop floor WIP management platform was created in Ubiquitous Manufacturing (UM) [ 39 ], aiming to monitor and control dynamic production and material handling through RFID-enabled traceability and visibility of shop floor manufacturing processes environment. A real-time Discrete Event (DE)-based monitoring system was developed for RFID-enabled shop floor monitoring in manufacturing [ 40 ], where the DE observer is designed to construct complex events from the simple events extracted from the raw RFID data. Huang et al .…”

Section: Literature Reviewmentioning

confidence: 99%

Abnormal Condition Monitoring of Workpieces Based on RFID for Wisdom Manufacturing Workshops

Zhang

Yao

Zhang

2015

Sensors

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Radio Frequency Identification (RFID) technology has been widely used in many fields. However, previous studies have mainly focused on product life cycle tracking, and there are few studies on real-time status monitoring of workpieces in manufacturing workshops. In this paper, a wisdom manufacturing model is introduced, a sensing-aware environment for a wisdom manufacturing workshop is constructed, and RFID event models are defined. A synthetic data cleaning method is applied to clean the raw RFID data. The Complex Event Processing (CEP) technology is adopted to monitor abnormal conditions of workpieces in real time. The RFID data cleaning method and data mining technology are examined by simulation and physical experiments. The results show that the synthetic data cleaning method preprocesses data well. The CEP based on the Rifidi® Edge Server technology completed abnormal condition monitoring of workpieces in real time. This paper reveals the importance of RFID spatial and temporal data analysis in real-time status monitoring of workpieces in wisdom manufacturing workshops.

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“…Literature [5][6][7] studied the definition and optimization of complex event processing and disorder of events in RFID data stream. These studies assume that complex events are from a single data stream and there are no incomplete event detection.…”

Section: Related Workmentioning

confidence: 99%

A Method for Complex Event Detection of Out-of-Order RFID Data Flow

Ding¹,

Xu²,

Wang³

et al. 2015

Proceedings of the 2015 2nd International Workshop on Materials Engineering and Computer Sciences

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Because RFID events contain features of real-time and mass resistance, there are some issues through the existing complex event detection method for processing, such as inefficient speed and taking up larger memory space. To solve these problems, a complex event detection method based on binary tree is proposed. The algorithm designs an effective binary tree and combines the atomic events into complex events. Analysis shows that the complex event detection method has high efficiency and accuracy in theory and operational feasibility.

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Discrete-Event Shop-Floor Monitoring System in RFID-Enabled Manufacturing

Cited by 28 publications

References 22 publications

Survey of RFID-IoTin Supply Chain Management

Survey of RFID-IoTin Supply Chain Management

Abnormal Condition Monitoring of Workpieces Based on RFID for Wisdom Manufacturing Workshops

A Method for Complex Event Detection of Out-of-Order RFID Data Flow

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