Emergency materials dispatching considering reverse logistics in view of simulation optimization approach

Proceedings of International Conference on Information Systems for Crisis Response and Management, ISCRAM 2011

Volumn , Issue , 2011, Pages 401-405

  Zhou, Chen Liang ^a   Xue, Heng Xin ^a  

^a NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Emergency scheduling; Genetic algorithm; Reverse logistics; Simulation optimization

Indexed keywords

DISASTER AREAS; EMERGENCY MATERIAL; EMERGENCY SCHEDULING; EMERGENCY SYSTEM; MATHEMATICAL PROGRAMMING MODELS; OBJECT ORIENTED METHOD; OPTIMAL DISPATCHING; OPTIMAL PLANNING; REVERSE LOGISTICS; SIMULATION MODEL; SIMULATION OPTIMIZATION; SIMULATION OPTIMIZATION METHOD; TIME CONSTRAINTS;

COMPUTER PROGRAMMING; COMPUTER SIMULATION; INFORMATION SYSTEMS; MATERIALS; MATHEMATICAL PROGRAMMING;

GENETIC ALGORITHMS;

EID: 84861002431     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCRAM.2011.6184139     Document Type: Conference Paper

References (15)

1. G. B. Dantzig, and J. H. Ramser. The Truck Dispatching Problem [J] . Management Science, 1959, 6(1): 80-91.
2. P. Toth, and D.Vigo, An Overview of Vehicle Routing Problems, in P. Toth and D. Vigo (Eds.), The Vehicle Routing Problem, Society for Industrial and Applied Mathematics, Philadelphia, 2002, 1-26.
3. J. Ai, and V. Kachitvichyanukul, A particle swarm optimization for the vehicle routing problem with simultaneous pickup and delivery[J].Computers &Operations Research, 2009,36(5): 1693-1702.
4. K. Fleszar, I. H. Osman and K. S. Hindi, A variable neighbourhood search algorithm for the open vehicle routing problem [J]. European Journal of Operational Research, 2009, 195(3): 803-809.
5. N. Azi, M. Gendreau, and J.Y. Potvin, An exact algorithm for a vehicle routing problem with time windows and multiple uses of vehicles [J]. European Journal of Operational Research, 2010, 202(3): 756-763.
6. X. F. Tang. Simulation System of the Third Party Logistics [J]. Delivery, Journal of System Simulation, 2002, 14(1): 44-46. (In Chinese)
7. F. Yu, H. Qi, J. M. Dai. Simulation Based on HLA for System of Logistics Delivery [J]. Computer and numeral engineering, 2005, 22(4): 41-44. (In Chinese)
8. J. Banks, the Future of Simulation[C], Proceedings of the European Simulation Multi-Conference Ghent, Belgium, 2000.
9. G. Dellinoa, J. P. C. Kleijnena, and C. Melonib. Robust optimization in simulation: Taguchi and Response Surface Methodology [J]. International Journal of Production Economics, 2010, 125(1): 52-59.
10. Q. C. Zeng, and Z.Z. Yang. Integrating simulation and optimization to schedule loading operations in container terminals [J]. Computers & Operations Research, 2009, 36(6): 1935-1944.
11. B. Shulgin, L. Stone, and Z. Agur. Pulse vaccination strategy in the SIR epidemic model [J]. Bulletin of Mathematical Biology, 1998, 60(6): 1123-1148. (Pubitemid 28559961)
12. J. B. Sheu. An emergency logistics distribution approach for quick response to urgent relief demand in disasters [J]. Transportation Research Part E: Logistics and Transportation Review, 2006, 43(6): 687-709.
13. F. Azadivar. Simulation optimization methodologies[C]. Proceedings of Winter Simulation Conference, Phoenix, 1999, 93-100.
14. T. Lacksonen. Empirical comparison of search algorithms for discrete event simulation [J]. Computers & industrial Engineering, 2001, 40 (1-2): 133-148. (Pubitemid 32487058)
15. J. H. Holland, Adaptation in Natural and Artificial Systems, The University of Michigan Press, Ann Arbor, MI, 1975.