Information-Based Allocation Strategy for GRID-Based Transshipment Automated Container Terminal

In this paper, we introduce a storage allocation strategy for a transshipment container hub using a new automated container terminal called the hybrid GRID system. This study provides a novel approach of developing an efficient storage allocation strategy for new terminal concepts so that the complex formulations can be approximated by simple functions that can be quickly computed. Specifically, the storage allocation strategy is derived from an optimal allocation decision learned from a Mixed Integer Programming (MIP) model. Some input parameters of the MIP model are collected from a simulation model. An index measuring the storage location convenience is proposed and we regress this index with important variables to build an empirical model that provides recommendations on where to allocate containers to storage locations. The advantage of using the empirical approach is that it allows for fast computation which is expected in the dynamic and uncertain port environment. Numerical results show that four ...

[1]  Kees Jan Roodbergen,et al.  Storage yard operations in container terminals: Literature overview, trends, and research directions , 2014, Eur. J. Oper. Res..

[2]  Loo Hay Lee,et al.  A container yard storage strategy for improving land utilization and operation efficiency in a transshipment hub port , 2012, Eur. J. Oper. Res..

[3]  Loo Hay Lee,et al.  A simulation study for next generation transshipment port , 2014, Proceedings of the Winter Simulation Conference 2014.

[4]  Loo Hay Lee,et al.  An introduction and performance evaluation of the GRID system for transshipment terminals , 2016, Simul..

[5]  Akio Imai,et al.  Container storage and transshipment marine terminals , 2009 .

[6]  Kap Hwan Kim,et al.  New Conceptual Handling Systems in Container Terminals , 2012 .

[7]  Lu Chen,et al.  The storage location assignment problem for outbound containers in a maritime terminal , 2012 .

[8]  Kees Jan Roodbergen,et al.  A survey of literature on automated storage and retrieval systems , 2009, Eur. J. Oper. Res..

[9]  Ming Zhong,et al.  Location assignment for outbound containers with adjusted weight proportion , 2014, Comput. Oper. Res..

[10]  Marc Goetschalckx,et al.  Research on warehouse operation: A comprehensive review , 2007, Eur. J. Oper. Res..

[11]  Kwang Ryel Ryu,et al.  Comparison of operations of AGVs and ALVs in an automated container terminal , 2011, J. Intell. Manuf..

[12]  Loo Hay Lee,et al.  Flexible space-sharing strategy for storage yard management in a transshipment hub port , 2013, OR Spectr..

[13]  Loo Hay Lee,et al.  A yard storage strategy for minimizing traffic congestion in a marine container transshipment hub , 2008, OR Spectr..

[14]  Lu Zhen,et al.  A Comparative Study on Two Types of Automated Container Terminal Systems , 2012, IEEE Transactions on Automation Science and Engineering.

[15]  Loo Hay Lee,et al.  An optimization model for storage yard management in transshipment hubs , 2006, OR Spectr..

[16]  Matthew E. H. Petering Real-time container storage location assignment at an RTG-based seaport container transshipment terminal: problem description, control system, simulation model, and penalty scheme experimentation , 2013, Flexible Services and Manufacturing Journal.

[17]  Hao Hu,et al.  Tactical berth and yard template design at container transshipment terminals: A column generation based approach , 2015 .

[18]  Kap Hwan Kim,et al.  Estimating the space requirement for outbound container inventories in port container terminals , 2011 .