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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jing Yin Baojiang Chen |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of electromechanical and vehicle engineering, Beijing University of Civil Engineering and Architecture, China (Jing Yin; Baojiang Chen) |
| Abstract | For the job shop on-line scheduling in which the release dates of jobs are stochastic distributed, the hybrid scheduling strategy that integrates the interval rolling mechanism with the key event-driven is introduced. The satisfactory solution can be obtained through iterative optimization by embedding the neighborhood search into the constraint satisfaction solving procedure. The simulation and computational results verified that the scheduling method proposed in the paper can meet the requirements of both efficiency and stability. |
| Starting Page | 1102 |
| Ending Page | 1105 |
| File Size | 658882 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424448692 |
| DOI | 10.1109/IEEM.2009.5372957 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-12-08 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Job shop scheduling constraint optimization Computational modeling Stochastic processes Job shop Dynamic scheduling Discrete event simulation local search Scheduling algorithm Vehicles Automotive engineering Constraint optimization Processor scheduling rolling horizon scheduling |
| Content Type | Text |
| Resource Type | Article |
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