Abstract
Deadlocks in automated container terminals cause significant losses in port operational performance and thus, in order for the successful implementation of automated guided vehicle systems for container ports, it is crucial to prevent deadlocks. A graph-based representation of deadlocks is provided in this study, and deadlocks are prevented by imposing constraints in vehicle movements. Such constraints are embedded in the software controller by attaching control nodes. The simulation results show that the operational performances of container terminals may significantly be improved by the proposed controller.
Original language | English |
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Pages (from-to) | 321-325 |
Number of pages | 5 |
Journal | Journal of Intelligent Manufacturing |
Volume | 20 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2009 Jun |
Bibliographical note
Funding Information:’ Supported in part by grants from the American Cancer Society, IN-36-R, and the U.S. Public Health Service, 1 ROI HS 03256-01. * TO whom reprint requests should be addressed at Box 1106, Washington University, St. Louis, MO. 63130.
Keywords
- Automated container terminal
- Automated guided vehicle system
- Control node
- Deadlock prevention
- Ubiquitous controller
ASJC Scopus subject areas
- Software
- Industrial and Manufacturing Engineering
- Artificial Intelligence