discrete-event shop-floor monitoring system in rfid-enabled manufacturing In this paper, a real-time discrete-event (DE)-based monitoring system is developed for radio-frequency identification (RFID)-enabled shop-floor monitoring in manufacturing industries. The monitoring system uses rigorous mathematical techniques for event construction, state prediction, and disturbance detection that are suitable for big-data .
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In this paper, a real-time discrete-event (DE)-based monitoring system is . In this paper, a real-time discrete-event (DE)-based monitoring system is . To track work in progress, A*STAR scientists combined the popular radio .In this paper, a real-time discrete-event (DE)-based monitoring system is developed for radio .
In this paper, a real-time discrete-event (DE)-based monitoring system is developed for radio-frequency identification (RFID)-enabled shop-floor monitoring in manufacturing industries.
In this paper, a real-time discrete-event (DE)-based monitoring system is developed for radio-frequency identification (RFID)-enabled shop-floor monitoring in manufacturing industries. The monitoring system uses rigorous mathematical techniques for event construction, state prediction, and disturbance detection that are suitable for big-data . To track work in progress, A*STAR scientists combined the popular radio-frequency identification (RFID) tags with rigorous computational processing of 'discrete-event observers'. This.
In this paper, a real-time discrete-event (DE)-based monitoring system is developed for radio-frequency identification (RFID)-enabled shop-floor monitoring in manufacturing industries. The monitoring system uses rigorous mathematical techniques for event construction, state prediction, and disturbance detection that are suitable for big-data .Individual operations on the shop floor of an industrial plant can be tracked using a sophisticated automated monitoring system that employs advanced mathematical techniques.
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To track work in progress, A*STAR scientists combined the popular radio-frequency identification (RFID) tags with rigorous computational processing of ‘discrete-event observers’. This system will enable managers to make better, more timely decisions. In this paper, a real-time discrete-event (DE)-based monitoring system is developed for radio-frequency identification (RFID)-enabled shop-floor monitoring in manufacturing industries.Fig. 1. Architecture of the RFID monitoring system. - "Discrete-Event Shop-Floor Monitoring System in RFID-Enabled Manufacturing"
A distributed work flow management model from shop-floor level is established to define, configure and execute the real-time RFID enabled manufacturing processes. By applying the RFID technologies, the real-time shop-floor material management is implemented in [ 28 ].
Discrete-Event Shop-Floor Monitoring System in RFID-Enabled Manufacturing Jinwen Hu , Frank L. Lewis , Oon Peen Gan , Geok Hong Phua , Leck Leng Aw . IEEE Transactions on Industrial Electronics , 61(12): 7083-7091 , 2014.
In this paper, a real-time discrete-event (DE)-based monitoring system is developed for radio-frequency identification (RFID)-enabled shop-floor monitoring in manufacturing industries. In this paper, a real-time discrete-event (DE)-based monitoring system is developed for radio-frequency identification (RFID)-enabled shop-floor monitoring in manufacturing industries. The monitoring system uses rigorous mathematical techniques for event construction, state prediction, and disturbance detection that are suitable for big-data . To track work in progress, A*STAR scientists combined the popular radio-frequency identification (RFID) tags with rigorous computational processing of 'discrete-event observers'. This.In this paper, a real-time discrete-event (DE)-based monitoring system is developed for radio-frequency identification (RFID)-enabled shop-floor monitoring in manufacturing industries. The monitoring system uses rigorous mathematical techniques for event construction, state prediction, and disturbance detection that are suitable for big-data .
Individual operations on the shop floor of an industrial plant can be tracked using a sophisticated automated monitoring system that employs advanced mathematical techniques. To track work in progress, A*STAR scientists combined the popular radio-frequency identification (RFID) tags with rigorous computational processing of ‘discrete-event observers’. This system will enable managers to make better, more timely decisions. In this paper, a real-time discrete-event (DE)-based monitoring system is developed for radio-frequency identification (RFID)-enabled shop-floor monitoring in manufacturing industries.Fig. 1. Architecture of the RFID monitoring system. - "Discrete-Event Shop-Floor Monitoring System in RFID-Enabled Manufacturing"
A distributed work flow management model from shop-floor level is established to define, configure and execute the real-time RFID enabled manufacturing processes. By applying the RFID technologies, the real-time shop-floor material management is implemented in [ 28 ].
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