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《Control and Decision》 1997-02
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A Periodic and Event-driven Rolling Horizon Job Shop Scheduling Strategy

Fang Jian, Xi Yugeng(Shanghai Jiaotong University)  
In actual flexible manufacturing systems jobs usually arrive continuously, machine breakdown and repairment may appear and due date of jobs may be changed during processing. Inspired by the rolling horizon optimization from the predictive control technology, a period and event - driven rolling horizon scheduling strategy is presented to adapt the continuous processing and versatile of environment. The scheduling algorithm is hybridly composed of genetic algorithms and the dispatching rules to solve the job shop scheduling problem with sequence - dependent setup time and due date constraints. Simulation results show that the proposed strategy is more suitable for dynamic job shop environment than static job shop scheduling.
【Fund】: 上海市自然科学基金资助项目
【CateGory Index】: TH165
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