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Proactive Scheduling for Job-Shop Based on Abnormal Event Monitoring of Workpieces and Remaining Useful Life Prediction of Tools in Wisdom Manufacturing Workshop

by Cunji Zhang 1,2,*, Xifan Yao 3,*, Wei Tan 4, Yue Zhang 5 and Fudong Zhang 6
1
Yichang Key Laboratory of Robot and Intelligent System, China Three Gorges University, Yichang 443002, China
2
School of Mechanical and Power Engineering, China Three Gorges University, Yichang 443002, China
3
School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640, China
4
School of Computer Science and Technology, Dongguan University of Technology, Dongguan 523808, China
5
School of Mechanical Engineering, Chongqing University, Chongqing 401331, China
6
School of Mechanical Engineering, Tianjin University of Technology, Tianjin 300384, China
*
Authors to whom correspondence should be addressed.
Sensors 2019, 19(23), 5254; https://doi.org/10.3390/s19235254
Received: 27 September 2019 / Revised: 14 November 2019 / Accepted: 27 November 2019 / Published: 29 November 2019
(This article belongs to the Section Intelligent Sensors)
The job-shop scheduling is an important approach to manufacturing enterprises to improve response speed, reduce cost, and improve service. Proactive scheduling for job-shop based on abnormal event monitoring of workpieces and remaining useful life prediction of tools is proposed with radio frequency identification (RFID) and wireless accelerometer in this paper. Firstly, the perception environment of machining job is constructed, the mathematical model of job-shop scheduling is built, the framework of proactive scheduling is put forward, and the hybrid rescheduling strategy based on real-time events and predicted events is adopted. Then, the multi-objective, double-encoding, double-evolving, and double-decoding genetic algorithm (MD3GA) is used to reschedule. Finally, an actual prototype platform to machine job is built to verify the proposed scheduling method. It is shown that the proposed method solves the integration problem of dynamic scheduling and proactive scheduling of processing workpieces, reduces the waste of redundant time for the scheduling, and avoids the adverse impact on abnormal disturbances. View Full-Text
Keywords: proactive scheduling; abnormal event monitoring; RFID; remaining useful life; wireless accelerometer; wisdom manufacturing proactive scheduling; abnormal event monitoring; RFID; remaining useful life; wireless accelerometer; wisdom manufacturing
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Zhang, C.; Yao, X.; Tan, W.; Zhang, Y.; Zhang, F. Proactive Scheduling for Job-Shop Based on Abnormal Event Monitoring of Workpieces and Remaining Useful Life Prediction of Tools in Wisdom Manufacturing Workshop. Sensors 2019, 19, 5254.

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