Optimization algorithms for energy-efficient data centers
Hendrik F. Hamann
InterPACK 2013
This paper addresses the control of traffic when there are large numbers of Automatic Guided Vehicles (AGV's) in a factory. Although in most existing systems, AGV's follow predetermined tracks with few switches, newer AGV technology will allow each vehicle to follow unconstrained paths. This paper analyzes several possible policies for managing AGV's to minimize the impact of traffic jams. In a grid-iron network of roads, it is shown that traffic contention can have a large effect on the collective performance of AGV's. It is shown that a particular traffic policy permits the AGVs to be autonomous and independent while avoiding deadlocks. This policy is shown to be close to optimal, even for large numbers of vehicles. It is also shown under what conditions it is beneficial to modify the factory to have highways and superhighways. © 1988 IEEE
Hendrik F. Hamann
InterPACK 2013
Kafai Lai, Alan E. Rosenbluth, et al.
SPIE Advanced Lithography 2007
Marshall W. Bern, Howard J. Karloff, et al.
Theoretical Computer Science
Heinz Koeppl, Marc Hafner, et al.
BMC Bioinformatics