JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
Offline-to-Online Service and Big Data Analysis for End-to-end Freight Management System |
| 영문제목(English Title) |
Offline-to-Online Service and Big Data Analysis for End-to-end Freight Management System |
| 저자(Author) |
Suganya Selvaraj
Hanjun Kim
Eunmi Choi
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| 원문수록처(Citation) |
VOL 16 NO. 02 PP. 0377 ~ 0393 (2020. 04) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Freight management systems require a new business model for rapid decision making to improve their business processes by dynamically analyzing the previous experience data. Moreover, the amount of data generated by daily business activities to be analyzed for making better decisions is enormous. Online-to-offline or offlineto-online (O2O) is an electronic commerce (e-commerce) model used to combine the online and physical services. Data analysis is usually performed offline. In the present paper, to extend its benefits to online and to efficiently apply the big data analysis to the freight management system, we suggested a system architecture based on O2O services. We analyzed and extracted the useful knowledge from the real-time freight data for the period 2014–2017 aiming at further business development. The proposed system was deemed useful for truck management companies as it allowed dynamically obtaining the big data analysis results based on O2O services, which were used to optimize logistic freight, improve customer services, predict customer expectation, reduce costs and overhead by improving profit margins, and perform load balancing.
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| 키워드(Keyword) |
Big Data Analysis
Freight Management System
O2O Service
System Architecture
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| 파일첨부 |
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