Integrating truck arrival management into tactical operation planning at container terminals

• Autorzy: Yang Z.-Z. , Chen G. , Song D.-P.
• Języki publikacji: EN

Abstrakty

EN

Truck arrival management (TAM) has been recognized as an effective solution to alleviate the gate congestion at container terminals. To further utilize TAM in improving the overall terminal performance, this study integrates TAM with the other terminal operations at a tactical level. An integrated planning model and a sequential planning model are presented to coordinate the major terminal planning activities, including quayside berth allocation, yard storage space allocation and TAM. A heuristic-based genetic algorithm is developed to solve the models. A range of numerical examinations are performed to compare two planning models. The result shows that: the integrated model can improve the terminal performance significantly from the sequential model alone, particularly when the gate capacity and the yard capacity are relatively low; whereas the sequential model is more efficient than the integrated model in terms of computational time

• Wydawca: -
• Czasopismo: Polish Maritime Research
• Rocznik: 2013
• Tom: 20
• Numer: Special Issue S1
• Opis fizyczny: p.32-46,fig.,ref.

Twórcy

autor

Yang Z.-Z.

• Transportation Management College, Dalian Maritime University, China

autor

Chen G.

• Department of mechanics and production, Aalborg University, Aalborg, Denmark

autor

Song D.-P.

• School of Management, Plymuth University, Plymuth, United Kingdom

Bibliografia

• 1. Bazzazi, M., Safaei, N., & Javadian, N. (2009). A genetic algorithm to solve the storage space allocation problem in a container terminal. Computers & Industrial Engineering, Volume 56, Pages 44-52.
• 2. Bierwirth, C., & Meisel, F. (2010). A survey of berth allocation and quay crane scheduling problems in container terminals. European Journal of Operational Research, Volume 202, Pages 615-627.
• 3. Chang, D., Jiang, Z., Yan, W., & He, J. (2010). Integrating berth allocation and quay crane assignments. Transportation Research Part E: Logistics and Transportation Review, Volume 46, Pages 975-990.
• 4. Chen, G., & Yang, Z. Z. (2010). Optimizing time windows for managing arrivals of export containers at Chinese container terminals. Maritime Economics & Logistics, Volume 12, Pages 111–126.
• 5. Chen, G., Govindan, K., & Yang, Z. Z. (2011c). A method to reduce truck queueing at terminal gates: managing truck arrivals with vessel-dependent time windows. Technique Report, Univsersity of Southern Denmark .
• 6. Chen, G., Govindan, K., & Yang, Z. Z. (2011b). Designing terminal appointment system with integer programming and non-stationary queueing model. Technique Report, Univsersity of Southern Denmark .
• 7. Chen, L., & Lu, Z. (2010). The storage location assignment problem for outbound containers in a maritime terminal. International Journa lof Production Economics, doi:10.1016/j.ijpe.2010.09.019.
• 8. Chen, X., Zhou, X., & List, G. F. (2011a). Using time-varying tolls to optimize truck arrivals at ports. Transportation Research Part E: Logistics and Transportation Review, Volume 47, Pages 965-982.
• 9. Cordeau, J.-F., Gaudioso, M., Laporte, G., & Moccia, L. (2007). The service allocation problem at the Gioia Tauro Maritime Terminal. European Journal of Operational Research, Volume 176, Issue 2, Pages 1167-1184.
• 10. Cordeau, J.-F., Laporte, G., Legato, P., & Moccia, L. (2005). Models and Tabu search heuristics for the berth-allocation problem. Transportation Science, Volume 39, Pages 526-538.
• 11. de Oliveira, R.M., Mauri, G.R., & Lorena L.A. (2012). Clustering Search for the Berth Allocation Problem. Expert Systems with Applications, Volume 29, Issue 5, Pages 5499-5505.
• 12. Gangji, S.R.S., Babazadeh, A., & Arabshahi, N. (2010). Analysis of the continuous berth allocation problem in container ports using a genetic algorithm. Journal of Marine Science and Technology. Volume 15, Number 4, Pages 408-416
• 13. Geoffrion, A. M. (1999). Structured modelling: survey and future research directions. Interactive Transactions of ORMS .
• 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.
• 15. Guan, C. Q., & Liu, R. f. (2009). Container terminal gate appointment system optimization. Maritime Economics & Logistics, Volume 11, Issue 4, Pages 378–398.
• 16. Guan, Y., & Cheung, R. K. (2004). The berth allocation problem: models and solution methods. OR Spectrum, Volume 26, Number 1, Pages 75-92.
• 17. Han, X.-l., Lu, Z.-q., & Xi, L.-f. (2010). A proactive approach for simultaneous berth and quay crane scheduling problem with stochastic arrival and handling time. European Journal of Operational Research, Volume 207, Pages 1327-1340.
• 18. Imai, A., Chen, H. C., Nishimura, E., & Papadimitriou, S. (2008). The simultaneous berth and quay crane allocation problem. Transportation Research Part E: Logistics and Transportation Review, Volume 44, Pages 900-920.
• 19. Imai, A., Nishimura, E., & Papadimitriou, S. (2003). Berth allocation with service priority. Transportation Research Part B, Volume 37, Issue 5, Pages 437-457.
• 20. Imai, A., Nishimura, E., & Papadimitriou, S. (2001). The dynamic berth allocation problem for a container port. Transportation Research Part B, Volume 35, Issue 4, Pages 401-417.
• 21. Imai, A., Sun, X., Nishimura, E., & Papadimitriou, S. (2005). Berth allocation in a container port: using a continuous location space approach. Transportation Research Part B, Volume 39, Issue 3, Pages 199-221.
• 22. Kim, K. H., & Kim, H. B. (1999). Segregating space allocation models for container inventories in port container terminals. International Journal of Production Economics, Volume 59, Pages 415-423.
• 23. Kim, K. H., & Park, K. T. (2003). A note on a dynamic space-allocation method for outbound containers. European Journal of Operational Research, Volume 148, Pages 92-101.
• 24. Lee, L. H., Chew, E. P., Tan, K. C., & Han, Y. (2007). An optimization model for storage yard management in transshipment hubs. OR Spectrum, Volume 28, Pages 539-561.
• 25. Meisel, F. (2009). Seaside operations planning in container terminals. Berlin: Physica-Verlag.
• 26. Meisel, F., & Bierwirth, C. (2005). Integration of berth allocation and crane assignment to improve the resource utilization at a seaport container terminal. Operations Research Proceedings (pp. 105-110). Berlin: Springer.
• 27. Moorthy, R., & Teo, C.-P. (2006). Berth management in container terminal:the template design problem. OR Spectrum, Volume 28, Issue 4, Pages 495-518.
• 28. Park, Y., & Kim, K. (2003). A scheduling method for berth and quay cranes. OR Spectrum, Volume 25, Pages 1-23.
• 29. Stahlbock, R., & Voß, S. (2008). Operations research at container terminals: a literature update. OR Spectrum, Volume 30, Number 1, Pages1–52.
• 30. Steenken, D., Voß, S., & Stahlbock, R. (2004). Container terminal operation and operations research – a classification and literature review. OR Spectrum, Volume 26, Number 1, Pages 3-49.
• 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.
• 32. Vis, I. F., & Koster, R. d. (2003). Transshipment of containers at a container terminal: An overview. European Journal of Operational Research, Volume 147, Pages 1-16.
• 33. Woo, Y. J., & Kim, K. H. (2011). Estimating the space requirement for outbound container inventories in port container terminals. International Journal of Production Economics, Volume 133, Pages 293-301.
• 34. Yang, Z. Z., Chen, G., & Moodie, D. R. (2010). Modelling Road Traffic Demand of Container Consolidation in a Chinese Port Terminal. Journal of Transportation Engineering-ASCE, Volume 136, Page 881-886.
• 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.

Identyfikatory

DOI

10.2478/pomr-2013-0025