Development of priority rules for handlings in inland port container terminals with simulation

A container terminal is a complex system with many subsystems, for example stacking area, cranes and vehicles, and a large number of decisions for each subsystem. Due to the interactions of these subsystems, there is a lot of stochastic influence and interdependencies within the decisions, which make an optimized operation of a whole container terminal very complex and without technical and methodical support hard to handle. One optimal operated subsystem influences all other subsystems and therefore does not result in an optimality for the whole system. To optimize the operations in an overall system with all its stochastic influence and interactions the method of simulation is used in this paper, which provides the opportunity to create an experimental model and identify the best recommended course of action. The Institute of Transport Logistics developed the simulation suite ContSim, which permits the modelling and simulation of material and information flows in a container terminal. ContSim provides the possibility to model a terminal on a microscopical layer. All handling and controlling processes of the terminal can be modelled and parameterized.

[1]  Pasquale Legato,et al.  An Integrated Simulation Model For Channel Contention And Berth Management At A Maritime Container Terminal , 2007 .

[2]  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..

[3]  Lifeng Xi,et al.  A tabu search algorithm for the integrated scheduling problem of container handling systems in a maritime terminal , 2007, Eur. J. Oper. Res..

[4]  Jiyin Liu,et al.  The assignment of storage locations to containers for a container stack , 2009 .

[5]  Alan C. McKinnon,et al.  Efficient Hinterland Transport Infrastructure and Services for Large Container Ports , 2013 .

[6]  Yvo A. Saanen,et al.  Comparison of three automated stacking alternatives by means of simulation , 2005, Proceedings of the Winter Simulation Conference, 2005..

[7]  Stefan Voß,et al.  Container terminal operation and operations research - a classification and literature review , 2004, OR Spectr..

[8]  Yvo A. Saanen,et al.  Improving container terminal efficiency through emulation , 2012, J. Simulation.

[9]  Alan C. McKinnon,et al.  Efficient hinterland transport infrastructure and services for large container ports , 2015 .

[10]  Jaap A. Ottjes,et al.  A SIMULATION MODEL FOR INTEGRATING QUAY TRANSPORT AND STACKING POLICIES ON AUTOMATED CONTAINER TERMINALS , 2001 .

[11]  Frank Meisel,et al.  Container sequencing for quay cranes with internal reshuffles , 2010, OR Spectr..

[12]  M. Tanniru,et al.  A decision support system for planning , 1979 .

[13]  Kap Hwan Kim,et al.  Load scheduling for multiple quay cranes in port container terminals , 2006, J. Intell. Manuf..

[14]  Eelco van Asperen,et al.  Evaluating impact of truck announcements on container stacking efficiency , 2013 .

[15]  Katta G. Murty,et al.  A decision support system for operations in a container terminal , 2005, Decis. Support Syst..

[16]  Roberto Revetria,et al.  Distributed Simulation in Industry , 2007 .

[17]  Jaap A. Ottjes,et al.  USING CONTAINER CALL TIME INFORMATION FOR RESTACKING REDUCTION , 2008 .

[18]  Stefan Voß,et al.  Operations research at container terminals: a literature update , 2007, OR Spectr..

[19]  Yvo A. Saanen,et al.  Controls: Emulation to improve the performance of container terminals , 2008, 2008 Winter Simulation Conference.

[20]  Kwang Ryel Ryu,et al.  Optimizing stacking policies using an MOEA for an automated container terminal , 2010, The 40th International Conference on Computers & Indutrial Engineering.

[21]  van Km Kees Hee,et al.  Decision support system for container terminal planning , 1988 .

[22]  Kwang Ryel Ryu,et al.  Dynamic adjustment of container stacking policy in an automated container terminal , 2011 .

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

[24]  Luca Maria Gambardella,et al.  An optimization methodology for intermodal terminal management , 2001, J. Intell. Manuf..

[25]  Kwang Ryel Ryu,et al.  Crane scheduling for opportunistic remarshaling of containers in an automated stacking yard , 2015 .

[26]  Erik Demeulemeester,et al.  Project management and scheduling , 2013 .