Model Penentuan Jumlah Kapal dan Komposisinya untuk Short Sea Shipping Pulau Jawa

Ika Deefi Anna, Fitri Agustina




Abstract


This research aims to determine the amount and mixture composition of vessels in short sea shipping (SSS) operation in Java. SSS in Java is proposed to mitigate the surface transportation problem and move freight off the overcrowded North-Coast highways and rail systems onto the waterways. A mathematical model based on non-linear integer programming was developed to calculate the amount and the composition mix of vessels required for the proposed system. The model was solved by Lingo software and the computational results reveal that the proposed system would require daily shipment using 1 unit of type B vessel and 1 unit of type C vessel. The calculation results also show that the SSS in Java would require 6 vessels to operate. Overall, the model and the obtained solutions in this paper provide an alternative to raise awareness of short sea shipping’s potential with the government, logistic companies, and executive policymakers. Finally, this paper also contribute to research of maritime fleet size and mix problems.


Keywords


Short sea shipping, maritime fleet size problem, non linear integer programming

References


  1. Izi, M., Kajian Pungutan Liar Angkutan Barang Jalan Lintas Semarang-Palembang. Jakarta: Badan Litbang Perhubungan. http://isjd.pdii.lipi.go.id/admin/jurnal/21209236252.pdf,2009, Diakses pada 13 Maret 2012. [CrossRef]
  2. Brooks, M.R., and Hodgson, J.R., Short Sea Shipping on the East Coast of North America, and Analysis of Opportunities and Issues, Canada, Transportation Planning/Modal Integration Initiative Project ACG-TPMI-AH08, 2006. [CrossRef]
  3. Grosso, M., Ana-Rita L., Anne S., and George K.V., Short Sea Shipping, Intermodality and Parameters Influencing Pricing Policies: the Mediteranian Case. Netnomics, 11(1), 2010, pp. 47-67. [CrossRef]
  4. APEC Transportation Working Group, and Inha University, Short Sea Shipping Study, A Report on Successful SSS Models that Can Improve Ports’Efficieny and Security while Reducing Congestion, Fuel Costs, and pollution, 2007. [CrossRef]
  5. Paixao, A.C., and Marlow, P.B., Strengths and Weakness of Short Sea Shipping, UK, Marine Policy, 26, 2002, pp. 167-178. [CrossRef]
  6. Douet, M. and Cappucili, J.F., A review of Short Sea Shipping policy in the European Union, Journal of Transport Geography 19, 2011, pp. 968–976. [CrossRef]
  7. Christiansen, M., Fagerholt, K, and Ronen, D., Ship Routing and Scheduling, Status and Perspectives, Transportation science, 38(1), 2004, pp. 1-18. [CrossRef]
  8. Dantzig, G.B., Minimizing the Number of Tankers to Meet a Fixed Schedule, Naval Research Logistics Quarterly 1, 1954, pp. 217-222. [CrossRef]
  9. Jaikumar, R., and Solomon, M.M., The Tug Fleet Size Problem for Barges Line Operations, A polynomial Algorithm, Transportation Science 21 (4), 1987, pp. 264-272. [CrossRef]
  10. Sambracos, E., Paravantis, J.A., Tarantilis, C.D. and Kiranoudis, C.T., Dispatching of Small Containers Via Coastal Freight Liners, The Case of The Aegean Sea, European Journal of Operational Research, 152, 2004, pp. 365–381. [CrossRef]
  11. Bendall, H.B., and Stent, A.F., A Scheduling Model for a High Speed Containership Service, A Hub and Spoke Short Sea Application, Australia, International Journal of Maritime Economics, 3, 2001, pp. 262-277. [CrossRef]
  12. Hoff, A., Andersson, H., Christiansen, M., Hasle, G., and Lokketangen, A., Industrial Aspects and Literature Survey: Fleet Composition and Routing, Computers & Operations Research 37, 2010, pp. 2041–2061. [CrossRef]
  13. Fagerholt, K., and Lindstad, H., Optimal Policies for Maintaining a Supply Service in the Norwegian Sea. Omega, 28(3), 2000, pp. 269–275. [CrossRef]
  14. Cho, S.C., and Perakis A.N., Optimal Liner Fleet Routing Strategies, Maritime Policy & Management, 23(3), 1996, pp. 249–59. [CrossRef]
  15. Fagerholt, K., Christiansen, M., Hvattum, L.M., Johnsen, T.A.V., and Vabø, T.J., A Decision Support Methodology for Strategic Planning in Maritime Transportation, Omega, 38, 2010, pp. 465–474. [CrossRef]
  16. Perakis, A.N., and Jaramillo, D.I., Fleet Deployment Optimization for Liner Shipping, Background, Problem Formulation and Solution Approach, Part 1, Maritime Policy and Management, 18(3), 1991, pp. 183-200. [CrossRef]
  17. Pantuso, G., Fagerholt, K., and Hvattum, L.M. A Survey on Maritime Fleet Size and Mix Problems. European Journal of Operational Research 235 (2), 2013, pp. 341-349. [CrossRef]


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