| Summary: | 碩士 === 國立臺灣海洋大學 === 航運管理學系 === 104 === The transmission of informations with regard to the dry cargo chartering business, the current system has heavily relied on the traditional way of using primarily email to convey those text-based contents. The users have to spend lenthy time everyday to receive large amount of emails and go over those massive context one mail by one mail, this time-sonsuming process has been very challenging and burdensome. Consequently, this research develops a prototype of a Big Data Dry Bulk Matching System for Cargoes and Vessels in order to overcome this challenge. Using this system, ship and cargo data can be formated and then for mutual information transfer and sharing. Filtering and matching between cargoes and ships in terms of loading dates, cargo quantities, geographical locations, etc., this prototype system simplifies the said complex process and assists users in streamlining the task of matching between ships and cargoes. This study explores the feasibility of this kind of system by interviewing those potential users by providing the said prototype for free trial to those potential users.
This study explores the feasibility of this kind of system by interviewing those potential users by providing the said prototype for free trial to those potential users. Those interviewees all confirm and accept the said system as an ideal and valuable tool for their daily operations, and encourage further expansions to include the functions of voyage calculation, mobile applications and cloud computing. To use this kind of system in ship chartering business is surely feasible and of great help.
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