Incorporating container location dispersion into evaluating GCR performance at a transhipment terminal

ABSTRACT The degree of container dispersion at a transhipment terminal is measured by an index termed container location dispersion, which represents the range, both horizontal and vertical, of all containers for ship loading that are scattered in the yard. First, this paper identifies the impacts of container location dispersion on loading performance with insufficient or sufficient equipment deployment in real-life settings at a terminal. Then, we investigate those scenarios with different levels of interference. This research aims to explore the relationship between the container location dispersion and Gross Crane Rate (GCR) stability at a transhipment terminal and proposes a discrete-event driven simulation model for this purpose. All data in our experiments are extracted from the terminal operation system at a real-life container terminal. It is concluded from a series of experiments that the container location dispersion well captures the overall performance of container terminal handling and can be used for yard template optimization and management. Implications of this investigation are discussed in the context of the yard template design and improvement in the overall performance of a container transhipment terminal.

[1]  Wen-Chih Huang,et al.  Aggregates cranes handling capacity of container terminals: the port of Kaohsiung , 2002 .

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

[3]  Matthew E. H. Petering Development and simulation analysis of real-time, dual-load yard truck control systems for seaport container transshipment terminals , 2010, OR Spectr..

[4]  Richard J. Linn,et al.  Storage space allocation in container terminals , 2003 .

[5]  Branislav Dragović,et al.  Ship-berth link performance evaluation: simulation and analytical approaches , 2006 .

[6]  Loo Hay Lee,et al.  An Integrated Model for Berth Template and Yard Template Planning in Transshipment Hubs , 2011, Transp. Sci..

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

[8]  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.

[9]  Katta G. Murty,et al.  Effect of block length and yard crane deployment systems on overall performance at a seaport container transshipment terminal , 2009, Comput. Oper. Res..

[10]  Lu Zhen Container yard template planning under uncertain maritime market , 2014 .

[11]  Der-Horng Lee,et al.  Storage Yard Management in Maritime Container Terminals , 2016, Transp. Sci..

[12]  Tongtong Chen Yard operations in the container terminal-a study in the ‘unproductive moves’ , 1999 .

[13]  Okan Duru,et al.  Heuristic estimation of container stacking and reshuffling operations under the containership delay factor and mega-ship challenge , 2017 .

[14]  Ian Jenkinson,et al.  Green vehicle technology to enhance the performance of a European port: A simulation model with a cost-benefit approach , 2015 .

[15]  Osman Kulak,et al.  Layout analysis affecting strategic decisions in artificial container terminals , 2014, Comput. Ind. Eng..

[16]  Matthew E. H. Petering Effect of Block Width and Storage Yard Layout on Marine Container Terminal Performance , 2009 .

[17]  Petros A. Ioannou,et al.  Design, simulation, and evaluation of automated container terminals , 2002, IEEE Trans. Intell. Transp. Syst..

[18]  Matthew Erich Harold Petering Design, analysis, and real -time control of seaport container transshipment terminals. , 2007 .

[19]  Nathan Huynh,et al.  Storage space allocation at marine container terminals using ant-based control , 2013, Expert Syst. Appl..

[20]  Yih-Ching Juang,et al.  Empirical studies on yard operations Part 2: Quantifying unproductive moves undertaken in quay transfer operations , 2000 .

[21]  Kap Hwan Kim,et al.  An optimal layout of container yards , 2008, OR Spectr..

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

[23]  Kap Hwan Kim,et al.  Optimizing the Block Size in Container Yards , 2010 .

[24]  Matthew E. H. Petering Decision support for yard capacity, fleet composition, truck substitutability, and scalability issues at seaport container terminals , 2011 .

[25]  Nima Safaei,et al.  A genetic algorithm to solve the storage space allocation problem in a container terminal , 2009, Comput. Ind. Eng..