Open Access

Integrating truck arrival management into tactical operation planning at container terminals

1. Bazzazi, M., Safaei, N., & Javadian, N. (2009). A geneticalgorithm to solve the storage space allocation problem ina container terminal. Computers & Industrial Engineering, Volume 56, Pages 44-52.10.1016/j.cie.2008.03.012Search in Google Scholar

2. Bierwirth, C., & Meisel, F. (2010). A survey of berth allocationand quay crane scheduling problems in container terminals. European Journal of Operational Research, Volume 202, Pages 615-627.10.1016/j.ejor.2009.05.031Search in Google Scholar

3. Chang, D., Jiang, Z., Yan, W., & He, J. (2010). Integratingberth allocation and quay crane assignments. TransportationResearch Part E: Logistics and Transportation Review, Volume 46, Pages 975-990.Search in Google Scholar

4. Chen, G., & Yang, Z. Z. (2010). Optimizing time windows formanaging arrivals of export containers at Chinese containerterminals. Maritime Economics & Logistics, Volume 12, Pages 111-126.10.1057/mel.2009.21Search in Google Scholar

5. Chen, G., Govindan, K., & Yang, Z. Z. (2011c). A methodto reduce truck queueing at terminal gates: managing truckarrivals with vessel-dependent time windows. Technique Report, Univsersity of Southern Denmark .Search in Google Scholar

6. Chen, G., Govindan, K., & Yang, Z. Z. (2011b). Designingterminal appointment system with integer programming andnon-stationary queueing model. Technique Report, Univsersity of Southern Denmark .Search in Google Scholar

7. Chen, L., & Lu, Z. (2010). The storage location assignmentproblem for outbound containers in a maritime terminal. International Journa lof Production Economics, doi:10.1016/ j.ijpe.2010.09.019.Search in Google Scholar

8. Chen, X., Zhou, X., & List, G. F. (2011a). Using time-varyingtolls to optimize truck arrivals at ports. Transportation ResearchPart E: Logistics and Transportation Review, Volume 47, Pages 965-982.10.1016/j.tre.2011.04.001Search in Google Scholar

9. Cordeau, J.-F., Gaudioso, M., Laporte, G., & Moccia, L. (2007). The service allocation problem at the Gioia Tauro MaritimeTerminal. European Journal of Operational Research, Volume 176, Issue 2, Pages 1167-1184.Search in Google Scholar

10. Cordeau, J.-F., Laporte, G., Legato, P., & Moccia, L. (2005). Models and Tabu search heuristics for the berth-allocationproblem. Transportation Science, Volume 39, Pages 526-538.Search in Google Scholar

11. de Oliveira, R.M., Mauri, G.R., & Lorena L.A. (2012). Clustering Search for the Berth Allocation Problem. ExpertSystems with Applications, Volume 29, Issue 5, Pages 5499-5505.10.1016/j.eswa.2011.11.072Search in Google Scholar

12. Gangji, S.R.S., Babazadeh, A., & Arabshahi, N. (2010). Analysisof the continuous berth allocation problem in container portsusing a genetic algorithm. Journal of Marine Science and Technology. Volume 15, Number 4, Pages 408-416Search in Google Scholar

13. Geoffrion, A. M. (1999). Structured modelling: survey andfuture research directions. Interactive Transactions of ORMS .Search in Google Scholar

14. Giallombardo, G., Moccia, L., Salani, M., & Vacca, I. (2010). Modeling and solving the Tactical Berth Allocation Problem. Transportation Research Part B, Volume 44, Issue 2, Pages 232-245.10.1016/j.trb.2009.07.003Search in Google Scholar

15. Guan, C. Q., & Liu, R. f. (2009). Container terminal gateappointment system optimization. Maritime Economics &Logistics, Volume 11, Issue 4, Pages 378-398.Search in Google Scholar

16. Guan, Y., & Cheung, R. K. (2004). The berth allocationproblem: models and solution methods. OR Spectrum, Volume 26, Number 1, Pages 75-92.Search in Google Scholar

17. Han, X.-l., Lu, Z.-q., & Xi, L.-f. (2010). A proactive approachfor simultaneous berth and quay crane scheduling problemwith stochastic arrival and handling time. European Journal of Operational Research, Volume 207, Pages 1327-1340.Search in Google Scholar

18. Imai, A., Chen, H. C., Nishimura, E., & Papadimitriou, S. (2008). The simultaneous berth and quay crane allocationproblem. Transportation Research Part E: Logistics and Transportation Review, Volume 44, Pages 900-920.Search in Google Scholar

19. Imai, A., Nishimura, E., & Papadimitriou, S. (2003). Berthallocation with service priority. Transportation Research Part B, Volume 37, Issue 5, Pages 437-457.Search in Google Scholar

20. Imai, A., Nishimura, E., & Papadimitriou, S. (2001). Thedynamic berth allocation problem for a container port. Transportation Research Part B, Volume 35, Issue 4, Pages 401-417.Search in Google Scholar

21. Imai, A., Sun, X., Nishimura, E., & Papadimitriou, S. (2005). Berth allocation in a container port: using a continuous locationspace approach. Transportation Research Part B, Volume 39, Issue 3, Pages 199-221.10.1016/j.trb.2004.04.004Search in Google Scholar

22. Kim, K. H., & Kim, H. B. (1999). Segregating space allocationmodels for container inventories in port container terminals. International Journal of Production Economics, Volume 59, Pages 415-423.Search in Google Scholar

23. Kim, K. H., & Park, K. T. (2003). A note on a dynamic spaceallocationmethod for outbound containers. European Journal of Operational Research, Volume 148, Pages 92-101.10.1016/S0377-2217(02)00333-8Search in Google Scholar

24. Lee, L. H., Chew, E. P., Tan, K. C., & Han, Y. (2007). An optimization model for storage yard management intransshipment hubs. OR Spectrum, Volume 28, Pages 539-561.Search in Google Scholar

25. Meisel, F. (2009). Seaside operations planning in containerterminals. Berlin: Physica-Verlag.10.1007/978-3-7908-2191-8Search in Google Scholar

26. Meisel, F., & Bierwirth, C. (2005). Integration of berthallocation and crane assignment to improve the resourceutilization at a seaport container terminal. Operations Research Proceedings (pp. 105-110). Berlin: Springer.Search in Google Scholar

27. Moorthy, R., & Teo, C.-P. (2006). Berth management incontainer terminal:the template design problem. OR Spectrum, Volume 28, Issue 4, Pages 495-518.Search in Google Scholar

28. Park, Y., & Kim, K. (2003). A scheduling method for berth andquay cranes. OR Spectrum, Volume 25, Pages 1-23.Search in Google Scholar

29. Stahlbock, R., & Vos, S. (2008). Operations research atcontainer terminals: a literature update. OR Spectrum, Volume 30, Number 1, Pages1-52.Search in Google Scholar

30. Steenken, D., Vos, S., & Stahlbock, R. (2004). Containerterminal operation and operations research - a classificationand literature review. OR Spectrum, Volume 26, Number 1, Pages 3-49.Search in Google Scholar

31. Taleb-Ibrahimi, M., Castilho, B. d., & Daganzo, C. F. (1993). Storage space vs handling work in container terminals. Transportation Research Part B: Methodological, Volume 27, Pages 13-32.Search in Google Scholar

32. Vis, I. F., & Koster, R. d. (2003). Transshipment of containersat a container terminal: An overview. European Journal of Operational Research, Volume 147, Pages 1-16.10.1016/S0377-2217(02)00293-XSearch in Google Scholar

33. Woo, Y. J., & Kim, K. H. (2011). Estimating the spacerequirement for outbound container inventories in portcontainer terminals. International Journal of Production Economics, Volume 133, Pages 293-301.10.1016/j.ijpe.2010.04.032Search in Google Scholar

34. Yang, Z. Z., Chen, G., & Moodie, D. R. (2010). Modelling RoadTraffic Demand of Container Consolidation in a Chinese PortTerminal. Journal of Transportation Engineering-ASCE, Volume 136, Page 881-886.10.1061/(ASCE)TE.1943-5436.0000152Search in Google Scholar

35. Zhang, C., Liu, J., Wan, Y.-w., Murty, K. G., & Linn, R. J. (2003). Storage space allocation in container terminals. Transportation Research Part B: Methodological, Volume 37, Pages 883-903.Search in Google Scholar

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