loading...
Real-time Truckload Fleet Assignment and Scheduling Problem
Jinan, China October 16-October 18
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISDA.2006.36Sixth International Conference on Int ...
 This Article 
 
Buy PURCHASE ARTICLE: $19
PDF
HTML
Buy IEEE Xplore Subscribers
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
ASCII Text
x 
 
Changfeng Zhou, Yuejin Tan, Liangcai Liao, Yan Liu, "Real-time Truckload Fleet Assignment and Scheduling Problem," Intelligent Systems Design and Applications, International Conference on, vol. 3, pp. 138-143, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 3, 2006.
 
 
BibTex
x
 
@article{ 10.1109/ISDA.2006.36,
author = {Changfeng Zhou and Yuejin Tan and Liangcai Liao and Yan Liu},
title = {Real-time Truckload Fleet Assignment and Scheduling Problem},
journal ={Intelligent Systems Design and Applications, International Conference on},
volume = {3},
year = {2006},
isbn = {0-7695-2528-8},
pages = {138-143},
doi = {http://doi.ieeecomputersociety.org/10.1109/ISDA.2006.36},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Intelligent Systems Design and Applications, International Conference on
TI - Real-time Truckload Fleet Assignment and Scheduling Problem
SN - 0-7695-2528-8
SP138
EP143
A1 - Changfeng Zhou,
A1 - Yuejin Tan,
A1 - Liangcai Liao,
A1 - Yan Liu,
PY - 2006
KW - null
VL - 3
JA - Intelligent Systems Design and Applications, International Conference on
ER -
 
Changfeng Zhou, National University of Defense Technology, China
Yuejin Tan, National University of Defense Technology, China
Liangcai Liao, National University of Defense Technology, China
Yan Liu, National University of Defense Technology, China
The paper introduces a generic real-time truckload fleet assignment and scheduling problem, which includes the consideration of various costs associated with trucks? empty travel distances, jobs? delayed completion times, and job rejections. A mixed integer programming formulation for the off-line version of the problem is proposed. Then three rolling horizon strategies are considered and compared for the realtime version. The comparison of the policies is done under a general simulation framework. The new reoptimization policy is shown to systematically outperform the others.
Citation:
Changfeng Zhou, Yuejin Tan, Liangcai Liao, Yan Liu, "Real-time Truckload Fleet Assignment and Scheduling Problem," isda, vol. 3, pp.138-143, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 3, 2006
Usage of this product signifies your acceptance of the Terms of Use.