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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Andersson, M. Ng, A. Grimm, H. |
| Copyright Year | 2008 |
| Description | Author affiliation: Centre for Intell. Autom., Univ. of Skovde, Skovde, Sweden (Andersson, M.; Ng, A.; Grimm, H.) |
| Abstract | Simulation modeling has the capability to represent complex real-world systems in details and therefore it is suitable to develop simulation models for generating detailed operation plans to control the shop floor. In the literature, there are two major approaches for tackling the simulation-based scheduling problems, namely dispatching rules and using meta-heuristic search algorithms. The purpose of this paper is to illustrate that there are advantages when these two approaches are combined. More precisely, this paper introduces a novel hybrid genetic representation as a combination of both a partially completed schedule (direct) and the optimal dispatching rules (indirect), for setting the schedules for some critical stages (e.g. bottlenecks) and other non-critical stages respectively. When applied to an industrial case study, this hybrid method has been found to outperform the two common approaches, in terms of finding reasonably good solutions within a shorter time period for most of the complex scheduling scenarios. |
| Starting Page | 2004 |
| Ending Page | 2011 |
| File Size | 615450 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424427079 |
| DOI | 10.1109/WSC.2008.4736295 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Job shop scheduling Genetics Optimal scheduling Dispatching Computational modeling Machining Production Processor scheduling Camshafts Flexible manufacturing systems |
| Content Type | Text |
| Resource Type | Article |
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