A Simulation Based Meta-heuristic Approach for the Inbound Container Housekeeping Problem in the Automated Container Terminals

References

• Cao, X., and J. S. L. Lam. 2019. “Simulation-based Severe Weather-induced Container Terminal Economic Loss Estimation.” Maritime Policy & Management 46 (1): 92–116. doi:10.1080/03088839.2018.1516049.
   Web of Science ®Google Scholar
• Chang, Y., and X. Zhu. 2019. “A Novel Two-Stage Heuristic for Solving Storage Space Allocation Problems in Rail-Water Intermodal Container Terminals.” Symmetry-Basel 11 (10): 12–29.
   Web of Science ®Google Scholar
• Chang, Y., X. Zhu, and A. Haghani. 2019. “The Outbound Container Slot Allocation Based on the Stowage Plan in Rail–water Intermodal Container Terminals.” Measurement & Control 52 (5–6): 509–525. doi:10.1177/0020294019842599.
   Web of Science ®Google Scholar
• Choe, R., T. S. Kim, T. Kim, and K. R. Ryu. 2015. “Crane Scheduling for Opportunistic Remarshaling of Containers in an Automated Stacking Yard.” Flexible Services & Manufacturing Jounal 27 (2–3): 331–349. doi:10.1007/s10696-013-9186-3.
   Web of Science ®Google Scholar
• Clarke, J., L. McLay, and J. T. McLeskey Jr. 2014. “Comparison of Genetic Algorithm to Particle Swarm for Constrained Simulation-based Optimization of a Geothermal Power Plant.” Advanced Engineering Informatics 28 (1): 81–90. doi:10.1016/j.aei.2013.12.003.
   Web of Science ®Google Scholar
• Cordeau, J. F., P. Legato, R. M. Mazza, and R. Trunfio. 2015. “Simulation-based Optimization for Housekeeping in a Container Transshipment Terminal.” Computers & Operations Research 53: 81–95. doi:10.1016/j.cor.2014.08.001.
   Web of Science ®Google Scholar
• Covic, F. 2017. “Re-marshalling in Automated Container Yards with Terminal Appointment Systems.” Flexible Services & Manufacturing Jounal 29 (3–4): 433–503. doi:10.1007/s10696-017-9278-6.
   Web of Science ®Google Scholar
• Dragović, B., M. Škurić, and D. Kofjač. 2014. “A Proposed Simulation-based Operational Policy for Cruise Ships in the Port of Kotor.” Maritime Policy & Management 41 (6): 560–588. doi:10.1080/03088839.2013.865850.
   Web of Science ®Google Scholar
• Ehleiter, A., and F. Jaehn. 2016. “Housekeeping: Foresightful Container Repositioning.” International Journal of Production Economics 179: 203–211. doi:10.1016/j.ijpe.2016.06.009.
   Web of Science ®Google Scholar
• Ferrara, M., E. Fabrizio, J. Virgone, and M. Filippi. 2014. “A Simulation-based Optimization Method for Cost-optimal Analysis of Nearly Zero Energy Buildings.” Energy and Buildings 84: 442–457. doi:10.1016/j.enbuild.2014.08.031.
   Web of Science ®Google Scholar
• Galle, V., C. Barnhart, and P. Jaillet. 2018. “Yard Crane Scheduling for Container Storage, Retrieval, and Relocation.” European Journal of Operational Research 271 (1): 288–316. doi:10.1016/j.ejor.2018.05.007.
   Web of Science ®Google Scholar
• Gharehgozli, A., and N. Zaerpour. 2018. “Stacking Outbound Barge Containers in an Automated Deep-Sea Terminal.” European Journal of Operational Research 267 (3): 977–995. doi:10.1016/j.ejor.2017.12.040.
   Web of Science ®Google Scholar
• Gosavi, A. 2015. Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning. Berlin: Springer.
   Google Scholar
• Jiang, W., Y. Dong, and L. Tang (2011). “Simulation Study on Reshuffling Problem in Logistics Operations of a Container Terminal Yard”. Proceedings of 2011 IEEE International Conference on Service Operations: Logistics and Informatics: Beijing, China, 291–296.
   Google Scholar
• Kim, K. H. 1997. “Evaluation of the Number of Rehandles in Container Yards.” Computers & Industrial Engineering 32 (4): 701–711. doi:10.1016/S0360-8352(97)00024-7.
   Web of Science ®Google Scholar
• Kim, K. H., and H. B. Kim. 1999. “Segregating Space Allocation Models for Container Inventories in Port Container Terminals.” International Journal of Production Economics 59 (1–3): 415–423. doi:10.1016/S0925-5273(98)00028-0.
   Web of Science ®Google Scholar
• Ku, D., and T. S. Arthanari. 2016. “Container Relocation Problem with Time Windows for Container Departure.” European Journal of Operational Research 252 (3): 1031–1039. doi:10.1016/j.ejor.2016.01.055.
   Web of Science ®Google Scholar
• Lee, Y., and N. Hsu. 2007. “An Optimization Model for the Container Pre-marshalling Problem.” Computers & Operations Research 34 (11): 3295–3313. doi:10.1016/j.cor.2005.12.006.
   Web of Science ®Google Scholar
• Lin, D., and C. Chiang. 2017. “The Storage Space Allocation Problem at a Container Terminal.” Maritime Policy & Management 44 (6): 685–704. doi:10.1080/03088839.2017.1335897.
   Web of Science ®Google Scholar
• López-Ibáñez, M., J. Dubois-Lacoste, L. P. Cáceres, M. Birattari, and T. Stützle. 2016. “The Irace Package: Iterated Racing for Automated Algorithm Configuration.” Operations Research Perspectives 3: 43–58. doi:10.1016/j.orp.2016.09.002.
   Web of Science ®Google Scholar
• Nguyen, A. T., S. Reiter, and P. Rigo. 2014. “A Review on Simulation-based Optimization Methods Applied to Building Performance Analysis.” Applied Energy 113: 1043–1058. doi:10.1016/j.apenergy.2013.08.061.
   Web of Science ®Google Scholar
• Parreño-Torres, C., R. Alvarez-Valdes, R. Ruiz, and K. Tierney. 2020. “Minimizing Crane Times in Pre-marshalling Problems.” Transportation Research Part E: Logistics and Transportation Review 137: 101917. doi:10.1016/j.tre.2020.101917.
   Web of Science ®Google Scholar
• Sahay, N., and M. Ierapetritou. 2014. “Hybrid Simulation Based Optimization Framework for Centralized and Decentralized Supply Chains.” Industrial & Engineering Chemistry Research 53 (10): 3996–4007. doi:10.1021/ie403395p.
   Web of Science ®Google Scholar
• Sun, D., Y. Meng, L. Tang, J. Liu, B. Huang, and J. Yang. 2020. “Storage Space Allocation Problem at Inland Bulk Material Stockyard.” Transportation Research Part E 134: 101856. doi:10.1016/j.tre.2020.101856.
   Google Scholar
• Tanaka, S., K. Tierney, C. Parreño-Torres, R. Alvarez-Valdes, and R. Ruiz. 2019. “A Branch and Bound Approach for Large Pre-marshalling Problems.” European Journal of Operarional Research 278 (1): 211–225. doi:10.1016/j.ejor.2019.04.005.
   Web of Science ®Google Scholar
• Tang, L., W. Jiang, J. Liu, and Y. Dong. 2015. “Research into Container Reshuffling and Stacking Problems in Container Terminal Yards.” IIE Transactions 47 (7): 751–766. doi:10.1080/0740817X.2014.971201.
   Web of Science ®Google Scholar
• UNCTAD (2015) Review of Maritime Transport (2015) “UN Symbol: UNCTAD/RMT/2015”. United Nations Conference on Trade and Development.
   Google Scholar
• Wang, K., Y. Liang, and L. Zhao. 2017. “Multi-stage Emergency Medicine Logistics System Optimization Based on Survival Probability.” Frontiers of Engineering Management 4 (2): 221–228. doi:10.15302/J-FEM-2017020.
   Web of Science ®Google Scholar
• Wang, L., L. Yang, Z. Gao, and Y. Huang. 2017. “Robust Train Speed Trajectory Optimization: A Stochastic Constrained Shortest Path Approach.” Frontiers of Engineering Management 4 (4): 408–417. doi:10.15302/J-FEM-2017042.
   Web of Science ®Google Scholar
• Yu, B., S. Ren, E. Wu, Y. Zhou, and Y. Wang. 2017. “Optimization of Urban Bus Operation Frequency under Common Route Condition with Rail Transit.” Frontiers of Engineering Management 4 (4): 451–462. doi:10.15302/J-FEM-2017036.
   Web of Science ®Google Scholar
• Yu, M., and X. Qi. 2013. “Storage Space Allocation Models for Inbound Containers in an Automated Container Terminal.” European Journal of Operational Research 226 (1): 32–45. doi:10.1016/j.ejor.2012.10.045.
   Web of Science ®Google Scholar
• Zeng, M., W. Cheng, and P. Guo. 2017. “Modelling and Metaheuristic for Gantry Crane Scheduling and Storage Space Allocation Problem in Railway Container Terminals.” In Discrete Dynamics in Nature & Society, 1–13.
   Google Scholar