A STUDY ON THE SUPPORT SYSTEM OF SHIP BASIC PLANNING BY USING MARINE LOGISTICS BIG DATA

Mohammad Danil, Arifin and Kunihiro, Hamada and Kai, Ihara and Yuki, Koide (2017) A STUDY ON THE SUPPORT SYSTEM OF SHIP BASIC PLANNING BY USING MARINE LOGISTICS BIG DATA. In: International Conference on Computer Applications in Shipbuilding (ICCAS), Singapore.

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Abstract

In last decade, a large amount of data is growing exponentially which forms as Big Data. In maritime industries, marine logistics Big Data i.e. port data, ship data, route data, international trade data, and data provided by AIS increased rapidly. If these data are effectively utilized, a great innovation might be achieved. The objective of this study is to develop a support system of ship basic planning which can examine the demand and the principal particulars of bulk carrier by utilizing the marine logistics Big Data. In order to realize this, the authors develop ship allocation model consists of three distinct models i.e. shipper model, shipowner model, and operator model that developed by using the marine logistics Big Data. In this paper, a bulk carrier which is operating between Australia and Japan is taken as an example. The details and the effectiveness of proposed method are discussed in the paper.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	logistic big data
Subjects:	600 Technology and Applied Sciences /Teknologi dan Ilmu-ilmu Terapan > 629.04 Transportation Engineering/Teknik Transportasi
Divisions:	Fakultas Teknologi Kelautan > Teknik Sistem Perkapalan
Depositing User:	Mohammad Danil Arifin FTK
Date Deposited:	13 Apr 2020 03:56
Last Modified:	27 Sep 2022 02:08
URI:	http://repository.unsada.ac.id/id/eprint/1190

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