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Marginal Expansion Planning of Infrastructure at a Container Terminal

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http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53213#.VLcp9MnQrzE

ABSTRACT
Globalization push container terminal grown rapidly in decade. To fulfill the future traffic requirement, this study highlights marginal expansion planning of infrastructure in a container terminal. By using marginal approach, the expansion plan can be determine correctly and economically stage by stage. A mathematical model has generated to calculate the expansion size, expansion time, interval of expansion, expansion cost, and significant of expansion for each infrastructure respectively. It recommended determining the expansion plan for each infrastructure respectively. This is because one of the infrastructures needs to be expanding but the other may not. The generated model was verified with others model and validated with case study to investigate the practicability of the model. The model serves as expansion decision making tools to assist port expansion planners.
 
Cite this paper
Loke, K. , Kader, A. , Ahmad, M. , Hamid, S. and Othman, M. (2015) Marginal Expansion Planning of Infrastructure at a Container Terminal. Open Journal of Marine Science, 5, 99-107. doi: 10.4236/ojms.2015.51009.
 
References
[1]UNCTAD (1985) Port Development—A Handbook for Planners in Developing Countries. UNITED NATIONS, New York, 227.
 
[2]Frankel, E.G. (1987) Port Planning and Development. John Wiley and Sons, New York, 795.
 
[3]Kader, A.S.A. (1997) Cost Modelling for Inland Waterway Transport Systems. Liverpool John Moores University, Liverpool, 276.
 
[4]Kendra, J.M. (1997) Seaport Development versus Environmental Preservation: The Case of Sears Island, Maine, USA. Marine Policy, 21, 409-424. http://dx.doi.org/10.1016/S0308-597X(97)00004-3
 
[5]Thomas, B.J. (1999) Improving Port Performance—Container Terminal Development. Proceedings of the Trade and Development and Swedish International Development Authority, United Nation.
 
[6]Niswari, A. (2005) Container Terminal Expansion to Build Capacity: A Case Study. Erasmus University Rotterdam, Rotterdam, 73.
 
[7]Mohd Zamani, A. (2006) The Application of Fuzzy Expert System to Preliminary Development Planning of Medium Size Container Terminal. Universiti Teknologi Malaysia, Johor Bahru, 355.
 
[8]Dekker, S. and Verhaeghe, R.J. (2008) Development of a Strategy for Port Expansion: An Optimal Control Approach. Maritime Economic and Logistics, 2008, 258-274
 
[9]Thomas, B.J. and Roach, D.K., Interface4 Ltd., International Labour Office (1994) A Project by the International Labour Office (ILO), Financed by the Royal Government of the Kingdom of the Netherlands, Port Development Programme, C.1.1 Container Terminal Operations. 56.
 
[10]Fawcett, S.E., Ellram, L.M. and Ogden, J.A. (2007) Supply Chain Management Form Visio to Implementation. Pearson Education, Inc., New Jersey, 530.
 
[11]Loke, K.B., Saharuddin, A.H., Ibrahim, A.R. and Rizal, I. (2004) Container Handling Efficiency. Proceedings of the 4th International Conference on Marine Technology, Malaysia.                                        eww150115lx

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