PORT MANAGEMENT IMPROVEMENT STRATEGIES BASED ON SIMULATION MODEL

Management performance of container terminal is an important factor of port competitiveness. In the past, ports had often increased performance by expanding the number of berths and equipment. However, recent global recession has significantly dampened the growth of the international trade. Thus, port authority must seek effective utilization of the capacities of its container terminals. Most ocean carriers in the Port of Kaohsiung in Taiwan rent multiple berths that are often dispersed to different container terminals, resulting in inefficient handling. Establishing terminal operators to optimize berth assignment may resolve this problem. The objective of this research is to construct a simulation model to assess the positive effects of establishing effective terminal operators, which may be achieved through port privatization. The research results show that once terminal operators are established to optimize berth reassignment, terminal capacity could increase 20~30% with a related cost reduction in the range of 10~20%. These positive results suggest that the studied model offers potential benefit to other port authorities seeking to enhance their container handling capacity.

[1]  Carlos F. Daganzo,et al.  THE CRANE SCHEDULING PROBLEM , 1989 .

[2]  Jose L. Tongzon,et al.  Efficiency measurement of selected Australian and other international ports using data envelopment analysis , 2001 .

[3]  Wen-Chih Huang,et al.  A Case Study of Inter-Arrival Time Distributions of Container Ships , 2006 .

[4]  Christian Bierwirth,et al.  A survey of berth allocation and quay crane scheduling problems in container terminals , 2010, Eur. J. Oper. Res..

[5]  Hao-Cheng Liu,et al.  A simulation study on the performance of pickup-dispatching rules for multiple-load AGVs , 2006, Comput. Ind. Eng..

[6]  Kap Hwan Kim,et al.  Routing straddle carriers for the loading operation of containers using a beam search algorithm , 1999 .

[7]  Guoquan Li,et al.  EVALUATION OF OPERATION PERFORMANCE FOR CONTAINER TERMINAL FROM MICRO POINT VIEW , 2007 .

[8]  J. Tongzon,et al.  Port privatization, efficiency and competitiveness: Some empirical evidence from container ports (terminals) , 2005 .

[9]  Kevin Cullinane,et al.  A stochastic frontier model of the efficiency of major container terminals in Asia: assessing the influence of administrative and ownership structures , 2002 .

[10]  Robert C. Leachman,et al.  Port and modal allocation of waterborne containerized imports from Asia to the United States , 2008 .

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

[12]  Daofang Chang,et al.  Integrating Berth Allocation and Quay Crane Assignments , 2010 .

[13]  Jose L. Tongzon,et al.  DETERMINANTS OF PORT PERFORMANCE AND EFFICIENCY , 1995 .

[14]  T. Leschine,et al.  Container terminal productivity: a perspective , 1990 .

[15]  Akio Imai,et al.  The simultaneous berth and quay crane allocation problem , 2008 .

[16]  Akio Imai,et al.  Efficient planning of berth allocation for container terminals in Asia , 1997 .

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

[18]  Charles M. Macal,et al.  A Discrete-Event Simulation Model for Seaport Operations , 1998, Simul..

[19]  Petros A. Ioannou,et al.  A heuristic solution for the empty container substitution problem , 2008 .

[20]  Roberto Musmanno,et al.  A queuing network model for the management of berth crane operations , 2008, Comput. Oper. Res..

[21]  Jack P. C. Kleijnen,et al.  EUROPEAN JOURNAL OF OPERATIONAL , 1992 .

[22]  Simona Sacone,et al.  Modelling and Optimal Receding-horizon Control of Maritime Container Terminals , 2007, J. Math. Model. Algorithms.

[23]  Pablo Coto-Millán,et al.  Economic efficiency in Spanish ports: some empirical evidence , 2000 .

[24]  Michihiko Noritake,et al.  Optimum Number and Capacity of Seaport Berths , 1983 .

[25]  Thorsten Koch,et al.  Optimizing the landside operation of a container terminal , 2008, OR Spectr..

[26]  Erhan Kozan,et al.  COMPARISON OF ANALYTICAL AND SIMULATION PLANNING MODELS OF SEAPORT CONTAINER TERMINALS , 1997 .

[27]  Chin-Shan Lu,et al.  Evaluating Key Resources and Capabilities for Liner Shipping Services , 2007 .

[28]  Kap Hwan Kim,et al.  Evaluation of the number of rehandles in container yards , 1997 .

[29]  Lixin Miao,et al.  Quay crane scheduling with non-interference constraints in port container terminals , 2008 .

[30]  L. Douglas Smith,et al.  Simulation of alternative approaches to relieving congestion at locks in a river transportion system , 2009, J. Oper. Res. Soc..

[31]  Wen-Chih Huang,et al.  A Model of Container Transshipment Port Competition: An Empirical Study of International Ports in Taiwan , 2008 .

[32]  Paul Schonfeld,et al.  Optimal Berth and Crane Combinations in Containerports , 1985 .

[33]  Ebrahim Shayan,et al.  Investigation of port capacity under a new approach by computer simulation , 2002 .

[34]  Hannu Ahonen,et al.  A multi-mode resource-constrained scheduling problem in the context of port operations , 2006, Comput. Ind. Eng..

[35]  Mordecai Avriel,et al.  Stowage planning for container ships to reduce the number of shifts , 1998, Ann. Oper. Res..

[36]  Kap Hwan Kim,et al.  The optimal determination of the space requirement and the number of transfer cranes for import containers , 1998 .