STUDI PEMILIHAN JENIS ALAT ANGKUT BAHAN BAKAR MINYAK WILAYAH KEPULAUAN

  • Edwin Matatula Universitas Pattimura
DOI: https://doi.org/10.30598/ale.2.2019.31-38
Keywords: Islands Region, Distribution Model, Tug-Barge, AHP

Abstract

Abstrak Supplying fuel oil to the outermost and foremost islands, faced a relatively long distribution chain, especially in the most recent network to consumers on the island, many economic and technical problems. Economically, the people in the outermost islands, the foremost, have small-scale economic dynamics which causes relatively little oil fuel consumption. While technically, infrastructure support in supporting the supply process is very minimal. The fleet of ships as the main means of transporting fuel oil are people's vessels which are designed not specifically to transport liquid cargo. These vessels have relatively small types and dimensions, with very minimal safety equipment. The unavailability of ship dock facilities for loading and unloading so that the loading and unloading process is adequate on the island. Another thing is the geographical conditions of the scattered region and the influence of the weather, high sea waves in certain seasons
which hinder transport activities. These constraints later caused the process of distribution of fuel oil to not run smoothly and there was a scarcity of inventory, even a vacancy occurred and triggered a surge in prices. The selection of fuel transportation equipment between the Tug-barge, Self Propelled Oil Barge and Tanker using the Analytic Hierarchy Process (AHP) approach, produces tug-barge as the main choice. Furthermore, operational planning is carried out by considering the demand quantity, shipping distance, operating conditions and regional characteristics.
Pusher-Barge, which is offered in the Central Maluku Lease Islands, has a relatively high investment value, but there is a significant savings in the operating cost component of 54%, 78% sailing cost and 45,18% decrease in total transport costs per year current system. 

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References

Agostinho Agra, Marielle Christiansen, Cs, [2015], “ A Maritime Inventory Routing Problem with Stochastic Sailing and Port Times”. Elsevier, Computers & Operations Research.
Chaug-Ing Hsu, Yu-Ping Hsieh [2007] “ Routing, Ship size, and Sailing Frequency Decision-making for a Maritime Hub-and-spoke Container Network “ Mathematical and Computer Modelling 45
(2007) 899–916.
David Bredstrom, Kjetil Haugen, Asmund Olstad, Jan Novotnyc, [ 2015 ], “A Mixed Integer Linear Programming Model Applied In Barge Planning For Omya “ Elsevier , Operations Research Perspectives 2 (20150, 150–155
Jean-Paul Rodrique, cs, [2006]. “ The Geography of Transport Systems “ Roudledge Taylor and Francis Group, London and New York.
John J. Coyle, Edward J. Bardi, C. John Langley Jr. [1996 ], “The Management of Business Logistic“ Sixth edition, West Publising Company, New York
Kris Braekers, An Caris, Gerrit K. Janssens, [2013], “Optimal Shipping Routes And Vessel Size For Intermodal Barge Transport With Empty Container Repositioning “, Elsevier, Computers
In Industry 64 (2013) 155–164
Laurent Alfandari, Tatjana Davidovi, Fabio Furini, Ivana Ljubi, Vladislav Marasd, Sebastien Martin, [2017], “Tighter MIP Models for Barge Container Ship Routing “ , Elsevier, Omega (2017) 1–17.
Lu Zhen, Kai Wang, Shuaian Wang, Xiaobo Qu, [2018], “Tug Scheduling For Hinterland Barge Transport: A Branch-And-Price Approach“ European Journal Of Operational Research 265 (2018) 119–132
Stefano Fazi, Jan C. Fransoo, Tom Van Woensel, [2015], “ A Decision Support System Tool For The Transportation By Barge Of Import Containers: A Case Study “ Elsevier, Decision Support Systems
79 (2015) 33–45
Yunfei WANG, Ioana C. Bilegan, Teodor Gabriel Crainic, Abdelhakim Artiba , [2014], “Performance Indicators For Planning Intermodal Barge Transportation Systems “ Elsevier,Transportation Research Procedia 3 (2014) 621 – 630
A.K. Kar, [2009], : “Modeling Of Supplier Selection In E-Procurement As A Multi-Criteria Decision Making Problem “ , Sprouts: Working papers in Information Systems 9 (40) (2009) 1–22.
L. Junior, F. Rodrigues, O. Lauro, R. Carpinetti, L. Cesar, [2014], : “ A Comparison Between Fuzzy AHP And Fuzzy TOPSIS Methods To Supplier Selection “, , Applied Soft Computing 21 (2014) 194–209.
M.M. Köksalan, J. Wallenius, S. Zionts, [2011], Multiple Criteria Decision Making: From Early History To The 21st Century, World Scientific, 2011
C. Kahraman, S. C. Onar, B. Oztaysi, [2015] : Fuzzy Multicriteria Decision-Making: A Literature Review, International Journal of Computational Intelligence Systems 8(4) (2015) 637–666.
E.K. Zavadskas, Z. Turskis, [2011], : Multiple Criteria Decision Making (MCDM) Methods In Economics : An overview, Technological and Economic Development of Economy 17(2) (2011) 397– 427.
E.K. Zavadskas, Z. Turskis, S. Kildienė, [2014], : “State Of Art Surveys Of Overviews On MCDM/MADM Methods “, Technological and Economic Development of Economy 20 (1) 165–179.
T.L. Saaty, [1980], : The Analytic Hierarchy Process: Planning, Priority Setting, Resources Allocation, McGraw-Hill, New York, 1980.
E.K. Zavadskas, Z. Turskis, [2010], : A New Additive Ratio Assessment (ARAS) Method In Multicriteria Decision-Making, Technological and Economic Development of Economy 16 (2) (2010) 159–172.
Z. Turskis, E.K. Zavadskas, V. Kutut, [2013], : A Model Based On ARAS-G And AHP Methods For Multiple Criteria Prioritizing Of Heritage Value, International Journal of Information Technology
& Decision Making 12(1) (2013) 45–73.
W.K.M. Brauers, E.K. Zavadskas, [2006],: “The MOORA Method And Its Application To Privatization In A Transition Economy”, Control and Cybernetics 35(2) 445–469.
A. Krylovas, E.K. Zavadskas, N. Kosareva, S. Dadelo, [2014], : “New KEMIRA method for determining criteria priority and weights in solving MCDM Problem “ , International Journal of Information Technology & Decision Making 13(6) (2014) 1119-1133.
Published
2019-07-10
How to Cite
Matatula, E. (2019). STUDI PEMILIHAN JENIS ALAT ANGKUT BAHAN BAKAR MINYAK WILAYAH KEPULAUAN. ALE Proceeding, 2, 31-38. https://doi.org/10.30598/ale.2.2019.31-38
Issue
Vol 2 (2019): Archipelago Engineering (ALE)
Section
Articles

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