Storage allocation in automated container terminals: the upper level

• Autorzy: Xia M. , Zhao N. , Mi W.
• Języki publikacji: EN

Abstrakty

EN

Nowadays automation is a trend of container terminals all over the world. Although not applied in current automated container terminals, storage allocation is indispensable in conventional container terminals, and promising for automated container terminals in future. This paper seeks into the storage allocation problem in automated container terminals and proposed a two level structure for the problem. A mixed integer programming model is built for the upper level, and a modified Particle Swarm Optimization (PSO) algorithm is applied to solve the model. The applicable conditions of the model is investigated by numerical experiments, so as the performance of the algorithm in different problem scales. It is left to future research the lower level of the problem and the potential benefit of storage allocation to automated container terminals

• Wydawca: -
• Czasopismo: Polish Maritime Research
• Rocznik: 2016
• Tom: 23
• Numer: Special Issue S1
• Opis fizyczny: p.160-174,fig.,ref.

Twórcy

autor

Xia M.

• Scientific Research Academy, Shanghai, China

autor

Zhao N.

• Logistics Engineering College Shanghai Maritime University, 1550 Haigang Avenue, Shanghai 201306, China

autor

Mi W.

• Logistics Engineering College Shanghai Maritime University, 1550 Haigang Avenue, Shanghai 201306, China

Bibliografia

• 1. Mi Chao, Zhang Zhiwei, Huang Youfang, Shen Yang, A FAST AUTOMATED VISION SYSTEM FOR CONTAINER CORNER CASTING RECOGNITION,Journal of Marine Science and Technology-Taiwan, 2016, 24(1): 54-60.
• 2. Mi Chao, Shen Yang, Mi Weijian, Huang Youfang, Ship Identification Algorithm Based on 3D Point Cloud for Automated Ship Loaders, Journal of Coastal Research, 2015, 2015(SI.73):28-34.
• 3. Mi Chao, Zhang Zhiwei, He Xin, Huang Youfang, Mi Weijian, Two-stage classification approach for human detection in camera video in bulk ports,Polish Maritime Research, 2015, 22(SI.1):163-170.
• 4. Mi Chao, He Xin, Liu Haiwei, Huang Youfang, Mi Weijian, Research on a Fast Human-Detection Algorithm for Unmanned Surveillance Area in Bulk Ports,Mathematical Problems in Engineering, 2014, Article No.386764.
• 5. Mi Chao, Liu Haiwei, Huang Youfang, Mi Weijian, Shen Yang, Fatigue alarm systems for port machine operators, ASIA LIFE SCIENCES, 2016,25(1):31-41.
• 6. Kim K H, Park K T. A note on a dynamic space-allocation method for outbound containers [J]. European Journal of Operational Research, 2003, 148(1): 92-101.
• 7. Zhang C, Liu J, Wan Y, et al. Storage space allocation in container terminals [J]. Transportation Research Part B: Methodological, 2003, 37(10): 883-903.
• 8. steenken D, Voß S, Stahlbock R. Container terminal operation and operations research-a classification and literature review [J]. OR spectrum, 2004, 26(1): 3-49.
• 9. [9] Lee L H, Chew E P, Tan K C, et al. An optimization model for storage yard management in transshipment hubs [J]. Or Spectrum, 2006, 28(4): 539-561.
• 10. Dekker R, Voogd P, van Asperen E. Advanced methods for container stacking [M] // Container terminals and cargo systems. Springer Berlin Heidelberg, 2007: 131-154.
• 11. Han Y, Lee L H, Chew E P, et al. A yard storage strategy for minimizing traffic congestion in a marine container transshipment hub [J]. OR Spectrum, 2008, 30(4): 697-720.
• 12. Weijian Mi, Wei Yan, Junliang He and Daofang Chang. An investigation into yard allocation for outbound containers [J]. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 2009, 28(6): 1442-1457.
• 13. Bazzazi M, Safaei N, Javadian N. A genetic algorithm to solve the storage space allocation problem in a container terminal [J]. Computers & Industrial Engineering, 2009, 56(1): 44-52.
• 14. Lee D H, Cao J X, Shi Q, et al. A heuristic algorithm for yard truck scheduling and storage allocation problems [J]. Transportation Research Part E: Logistics and Transportation Review, 2009, 45(5): 810-820.
• 15. Nishimura E, Imai A, Janssens G K, et al. Container storage and transshipment marine terminals [J]. Transportation Research Part E: Logistics and Transportation Review, 2009, 45(5): 771-786.
• 16. Zhang Y, Zhou Q, Zhu Z, et al. Storage planning for outbound container on maritime container terminals [C] // Automation and Logistics, 2009. ICAL’09. IEEE International Conference on. IEEE, 2009: 320-325.
• 17. Ku L P, Lee L H, Chew E P, et al. An optimisation framework for yard planning in a container terminal: case with automated rail-mounted gantry cranes [J]. OR spectrum, 2010, 32(3): 519-541.
• 18. Borgman B, van Asperen E, Dekker R. Online rules for container stacking [J]. OR spectrum, 2010, 32(3): 687-716.
• 19. Ku L P, Chew E P, Lee L H, et al. A novel approach to yard planning under vessel arrival uncertainty [J]. Flexible Services and Manufacturing Journal, 2012, 24(3): 274-293.
• 20. Li M, Li S. An effective heuristic for yard template design in land-scarce container terminals [C] // Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on. IEEE, 2011: 908-912.
• 21. Woo Y J, Kim K H. Estimating the space requirement for outbound container inventories in port container terminals [J]. International Journal of Production Economics, 2011, 133(1): 293-301.
• 22. Park T, Choe R, Hun Kim Y, et al. Dynamic adjustment of container stacking policy in an automated container terminal [J]. International Journal of Production Economics, 2011, 133(1): 385-392.
• 23. Jiang X, Lee L H, Chew E P, et al. A container yard storage strategy for improving land utilization and operation efficiency in a transshipment hub port [J]. European Journal of Operational Research, 2012, 221(1): 64-73.
• 24. Jeong Y H, Kim K H, Woo Y J, et al. A Simulation Study on a Workload-based Operation Planning Method in Container Terminals [J]. Industrial Engineeering & Management Systems, 2012, 11(1): 103-113.
• 25. Lee D H, Jin J G, Chen J H. Schedule Template Design and Storage Allocation for Cyclically Visiting Feeders in Container Transshipment Hubs [J]. Transportation Research Record: Journal of the Transportation Research Board, 2012, 2273(1): 87-95.
• 26. Li P, Sun X. Storage Space Allocation Planning in the New Container Terminal [C] // Proceedings of 2012 3rd International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012). Springer Berlin Heidelberg, 2013: 429-437.
• 27. Lee D H, Jin J G, Chen J H. Terminal and yard allocation problem for a container transshipment hub with multiple terminals [J]. Transportation Research Part E: Logistics and Transportation Review, 2012, 48(2): 516-528.
• 28. Chen L, Lu Z. The storage location assignment problem for outbound containers in a maritime terminal [J]. International Journal of Production Economics, 2012, 135(1): 73-80.
• 29. Won S H, Zhang X, Kim K H. Workload-based yardplanning system in container terminals [J]. Journal of intelligent manufacturing, 2012, 23(6): 2193-2206.
• 30. Jiang X, Chew E P, Lee L H, et al. Flexible space-sharing strategy for storage yard management in a transshipment hub port [J]. OR spectrum, 2013, 35(2): 417-439.
• 31. Türsel Eliiyi D, Mat G, Ozmen B. Storage Optimization for Export Containers in the Port of Izmir [J]. PROMETTraffic&Transportation, 2013, 25(4): 359-367.
• 32. Sharif O, Huynh N. Storage space allocation at marine container terminals using ant-based control [J]. Expert Systems with Applications, 2013, 40(6): 2323-2330.
• 33. Yu M, Qi X. Storage space allocation models for inbound containers in an automatic container terminal [J]. European Journal of Operational Research, 2013, 226(1): 32-45.
• 34. Zhen L. Yard template planning in transshipment hubs under uncertain berthing time and position [J]. Journal of the Operational Research Society, 2012, 64(9): 1418-1428.
• 35. Carlo H J, Vis I F A, Roodbergen K J. Storage yard operations in container terminals: Literature overview, trends, and research directions [J]. European Journal of Operational Research, 2014, 235(2): 412-430.

Identyfikatory

DOI

10.1515/pomr-2016-0061