Disruption management model and its algorithms for berth allocation problem in container terminals

International Journal of Innovative Computing, Information and Control

Volumn 7, Issue 5 B, 2011, Pages 2763-2773

  Zeng, Qingcheng ^a,b   Hu, Xiangpei ^b   Wang, Wenjuan ^b   Fang, Yan ^b  

^a DALIAN MARITIME UNIVERSITY   (China)

^b DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Berth scheduling; Container terminals; Disruption management; Simulation optimization

Indexed keywords

BERTH ALLOCATION; BERTH ALLOCATION PROBLEM; BERTH SCHEDULING; COMPUTATION EFFICIENCY; CONTAINER TERMINAL; CONTAINER TERMINALS; DISRUPTION MANAGEMENT; LOCAL RESCHEDULING; NUMERICAL EXPERIMENTS; QUAY CRANES; SIMULATION OPTIMIZATION; UNEXPECTED EVENTS;

ALGORITHMS; COMPUTER SIMULATION; PORT TERMINALS; RAILROAD YARDS AND TERMINALS; TABU SEARCH; TRANSFER CASES (VEHICLES);

COMPUTATIONAL EFFICIENCY;

EID: 79956117560     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (25)

1. E. Nishimura, A. Imai and P. Stratos, Berth allocation planning in the public berth system by genetic algorithms, European Journal of Operational Research, vol.131, no.2, pp.282-292, 2001.
2. A. Imai, E. Nishimura and P. Stratos, Berth allocation with service priority, Transportation Research Part B, vol.37, no.5, pp.437-457, 2003.
3. K. H. Kim and K. C. Moon, Berth scheduling by simulated annealing, Transportation Research Part B, vol.37, no.6, pp.541-560, 2003.
4. A. Imai, X. Sun and E. Nishimura, Berth allocation in a container port: Using a continuous location space approach, Transportation Research Part B, vol.39, no.3, pp.179-221, 2005.
5. A. Imai, E. Nishimura, M. Hattori and S. Papadimitriou, Berth allocation at indented berths for mega-containerships, European Journal of Operational Research, vol.179, no.2, pp.579-593, 2007.
6. F. Wang and A. Lim, A stochastic beam search for the berth allocation problem, Decision Support Systems, vol.42, no.4, pp.2186-2196, 2007.
7. C. F. Daganzo, The crane scheduling problem, Transportation Research Part B, vol.23, no.3, pp.159-175, 1989.
8. K. H. Kim and Y. M. Park, A crane scheduling method for port container terminals, European Journal of Operational Research, vol.156, no.3, pp.752-768, 2004.
9. D. L. Lee, H. Q. Wang and L. Miao, Quay crane scheduling with non-interference constraints in port container terminals, Transportation Research Part E, vol.44, no.1, pp.124-135, 2008.
10. R. Tavakkoli-Moghaddam, A. Makui, S. Salahi, M. Bazzazi and F. Taheri, An efficient algorithm for solving a new mathematical model for a quay crane scheduling problem in container ports, Computers & Industrial Engineering, vol.56, no.1, pp.241-248, 2009.
11. A. V. Goodchild and C. F. Daganzo, Crane double cycling in container ports: Planning methods and evaluation, Transportation Research Part B, vol.41, no.8, pp.875-891, 2007.
12. Y. M. Park and K. H. Kim, A scheduling method for berth and quay cranes, OR Spectrum, vol.25, no.1, pp.1-23, 2003.
13. A. Imai, H. C. Chen and E. Nishimura, The simultaneous berth and quay crane allocation problem, Transportation Research Part E, vol.44, no.5, pp.900-920, 2008.
14. F. Meisel and C. Bierwirth, Heuristics for the integration of crane productivity in the berth allocation problem, Transportation Research Part E, vol.45, no.1, pp.196-209, 2009.
15. C. Liang, Y. Huang and Y. Yang, A quay crane dynamic scheduling problem by hybrid evolutionary algorithm for berth allocation, Computers & Industrial Engineering, vol.56, no.3, pp.1021-1028, 2009.
16. G. Yu and X. Qi, Disruption Management, Framework, Models and Applications, World Scientic Publishing Co. Pre. Ltd., 2004.
17. T. Xiao, X. Qi and G. Yu, Coordination of supply chain after demand disruptions when retailers compete, International Journal of Production Economics, vol.109, no.1, pp.162-179, 2007.
18. D. Petrovic and A. Duenas, A fuzzy logic based production scheduling/rescheduling in the presence of uncertain disruptions, Fuzzy Sets and Systems, vol.157, no.16, pp.2273-2285, 2006.
19. X. Qi, J. F. Bard and G. Yu, Disruption management for machine scheduling: The case of SPT schedules, International Journal of Production Economics, vol.103, no.4, pp.166-184, 2006.
20. C. G. Walker, J. N. Snowdon and D. M. Ryan, Simultaneous disruption recovery of a train timetable and crew roster in real time, Computers & Operations Research, vol.32, no.8, pp.2077-2094, 2005.
21. Q. C. Zeng and Z. Z. Yang, Integrating simulation and optimization to schedule loading operations in container terminals, Computers & Operations Research, vol.36, no.6, pp.1935-1944, 2009.
22. Y. Hirashima, A Q-learning system for container transfer scheduling based on shipping order at container terminals, International Journal of Innovative Computing, Information and Control, vol.4, no.3, pp.547-558, 2008.
23. R. Zhang and C. Wu, Bottleneck machine identication based on optimization for the job shop scheduling problem, ICIC Express Letters, vol.2, no.2, pp.175-180, 2008.
24. R. Masuchun, W. Masuchun and T. Thepmanee, Integrating production scheduling and material requirements planning, ICIC Express Letters, vol.3, no.3(A), pp.501-506, 2009.
25. X. Wang, A. Liang, C. Xu and D. Yang, Analysis and design of decision support system of disruption management in logistics scheduling, International Journal of Innovative Computing, Information and Control, vol.5, no.6, pp.1559-1568, 2009.