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An Intelligent Decision Support System for Crane Scheduling in a Container Terminal
| Content Provider | Semantic Scholar |
|---|---|
| Author | Wan, Guohua |
| Copyright Year | 2003 |
| Abstract | In this paper, we studied a crane scheduling problem, i.e., the scheduling of RMCs to minimize the total weighted remaining work for the blocks in a terminal storage yard. The approach is a mix of planning method from AI and optimization methods based on MIP formulation. We implemented a DSS to incorporate both AI techniques and OR models. The experiments in simulation environment showed promising scheduling results with the DSS prototype. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.pomsmeetings.org/ConfProceedings/001/Papers/PSC-05.3.pdf |
| Alternate Webpage(s) | https://www.pomsmeetings.org/ConfProceedings/001/Papers/PSC-05.3.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |