DocumentCode
2372437
Title
Decision-tree learning in dwell point policies in autonomous vehicle storage and retrieval systems (AVSRS)
Author
Fukunari, M. ; Bennett, K.P. ; Malmorg, C.J.
Author_Institution
Decision Sciences & Engineering Systems Department, Rensselaer Polytechnic Institute
fYear
2004
fDate
16-18 Dec. 2004
Firstpage
81
Lastpage
84
Abstract
Autonomous vehicle storage and retrieval system (A VSRS) is a new material handling technology for unit load storage and retrieval. The dwell point issue is one of important aspects to increase the throughput. We examine two dwell point policies of an IO point policy and a last transaction floor policy. We combine two policies from findings in a decision tree. The result indicates significant improvements. The findings from a decision tree are used as inputs in the control system so that the control system selects an appropriate policy based on a current system state.
Keywords
Automatic control; Control systems; Decision trees; Dispatching; Intelligent vehicles; Material storage; Materials handling; Mobile robots; Rails; Remotely operated vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Applications, 2004. Proceedings. 2004 International Conference on
Conference_Location
Louisville, Kentucky, USA
Print_ISBN
0-7803-8823-2
Type
conf
DOI
10.1109/ICMLA.2004.1383497
Filename
1383497
Link To Document