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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Madureira, A. Ramos, C. Silva, S.C. |
| Copyright Year | 2003 |
| Description | Author affiliation: Dept. of Comput. Sci., Inst. of Eng. Polytech. of Porto, Portugal (Madureira, A.; Ramos, C.) |
| Abstract | Scheduling algorithms that achieve good or near optimal solutions and can efficiently adapt them to perturbations are, in most cases, preferable to those that achieve optimal ones but that cannot implement such an adaptation. In fact, in real world, where problems are essentially of dynamic and stochastic nature, these methods or algorithms are of very little use. This is the case with most algorithms for solving the so-called static scheduling problem for different setting of both single and multi-machine systems arrangements. This paper is concerned with a scheduling system, based on Genetic Algorithms, for the resolution of the dynamic version of the same problem. An additional constraint will be considered in our approach for the JSSP, the existence of different job release and due dates and different assembly levels for the jobs. |
| Sponsorship | IEEE Robotics & Autom. Soc. Assembly-Net: Eur. Thematic Network on Precision Assembly Technol. for Mini & Micro Products EU Growth Project No.GIRT-CT-2001-05039 |
| Starting Page | 140 |
| Ending Page | 145 |
| File Size | 486800 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780377702 |
| DOI | 10.1109/ISATP.2003.1217201 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-07-11 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Job shop scheduling Manufacturing systems Dynamic scheduling Assembly Knowledge engineering Scheduling algorithm Processor scheduling Computer science Production systems Stochastic processes |
| Content Type | Text |
| Resource Type | Article |
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