Knowledge representation for disruption management problems in Urban distribution systems

International Journal of Innovative Computing, Information and Control

Volumn 6, Issue 9, 2010, Pages 4145-4156

  Sun, Lijun ^a   Hu, Xiangpei ^a   Fang, Yan ^a   Huang, Minfang ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Decision support system (DSS); Disruption management; Knowledge representation; Production rules; Tree like structure; Urban distribution

Indexed keywords

DECISION MAKING PROCESS; DECISION MAKING SUPPORT; DISRUPTION MANAGEMENT; DISTRIBUTION SYSTEMS; KNOWLEDGE REPRESENTATION METHOD; PRODUCTION RULES; REAL-TIME REASONING; RESEARCH RESULTS; THREE COMPONENT; TREE-LIKE STRUCTURES; UNEXPECTED EVENTS; URBAN DISTRIBUTION; URBAN DISTRIBUTION SYSTEMS;

ARTIFICIAL INTELLIGENCE; DECISION SUPPORT SYSTEMS; FORESTRY; GEOGRAPHICAL DISTRIBUTION; KNOWLEDGE REPRESENTATION;

LOCAL AREA NETWORKS;

FORESTRY; NETWORKS; PRODUCTION;

EID: 84863115717     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (17)

1. G. Yu and X. Qi, Disruption Management: Framework, Models and Applications, World Scientific Publishing Co. Pte. Ltd., Singapore, 2004.
2. J.-Q. Li, D. Borenstein and P. B. Mirchandani, A decision support system for the single-depot vehicle rescheduling problem, Computers & Operations Research, vol.34, no.4, pp.1008-1032, 2007.
3. S. Ichoua, M. Gendreau and J. Y. Potvin, Diversion issues in real-time vehicle dispatching, Transportation Science, vol.34, no.4, pp.426-438, 2000.
4. J.-Y. Potvin, Y. Xu and I. Benyahia, Vehicle routing and scheduling with dynamic travel times, Computers & Operations Research, vol.33, no.4, pp.1129-1137, 2006.
5. T. C. Du, E. Y. Li and D. Chou, Dynamic vehicle routing for online B2C delivery, Omega, vol.33, no.1, pp.33-45, 2005.
6. X. Hu, M. Huang and A. Z. Zeng, An intelligent solution system for a vehicle routing problem in urban distribution, International Journal of Innovative Computing, Information and Control, vol.3, no.1, pp.189-198, 2007.
7. X. Hu, Y. Li, J. Guo, L. Sun and A. Z. Zeng, A simulation optimization algorithm with heuristic transformation and its application to vehicle routing problems, International Journal of Innovative Computing, Information and Control, vol.4, no.5, pp.1169-1181, 2008.
8. J. Mylopoulos, An overview of knowledge representation, Proc. of the Workshop on Data Abstraction, Databases and Conceptual Modeling, vol.11, no.2, pp.5-12, 1981.
9. J. Llorens, J. Morato and G. Genova, RSHP: An information representation model based on relationships, in Soft Computing in Software Engineering, E. Damiani, L. C. Jain and M. Madravio (eds.), Berlin, Springer, 2004.
10. M.-Y. Day, R. T.-H. Tsai, C.-L. Sung, C.-C. Hsieh, C.-W. Lee, S.-H. Wu, K.-P. Wu, C.-S. Ong and W.-L. Hsu, Reference metadata extraction using a hierarchical knowledge representation framework, Decision Support Systems, vol.43, no.1, pp.152-167, 2007.
11. X. P. Hu, L. J. Sun and T. T. Hu, An approach to knowledge representation for vehicle routing problems, Proc. of the 2006 International Conference on Management Science & Engineering, Lille, France, pp.487-492, 2006.
12. A. Fay, A fuzzy knowledge-based system for railway traffic control, Engineering Applications of Artificial Intelligence, vol.13, no.6, pp.719-729, 2000.
13. Y. Mu and L. Shen, Model building and implementation for the flexible information system based on meta-data, ICIC Express Letters, vol.1, no.2, pp.125-130, 2007.
14. S. J. Noronha and V. V. S. Sarma, Knowledge-based approaches for scheduling problems: A survey, IEEE Transactions on Knowledge and Data Engineering, vol.3, no.2, pp.160-171, 1991.
15. G. E. Vieira, J. W. Herrmann and E. Lin, Rescheduling manufacturing systems: A framework of strategies, policies, and methods, Journal of Scheduling, vol.6, no.1, pp.39-62, 2003.
16. C. M. Jonkera, R. Kremerb, P. Van Leeuwena, D. Panb and J. Treura, Mapping visual to textual knowledge representation, Knowledge-Based Systems, vol.18, no.7, pp.367-378, 2005.
17. I. F. Imam and R. S. Michalski, Learning decision trees from decision rules: A method and initial results from a comparative study, Journal of Intelligent Information Systems, vol.2, no.3, pp.279-304, 1993.