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Erschienen in: Cluster Computing 1/2015

01.03.2015

Development of indicators of freight stations for digital convergence

verfasst von: Ohkeun Ha, Bu-Lim Choi, Younjung Kim, Byungkwan Kim, Kang-Dae Lee

Erschienen in: Cluster Computing | Ausgabe 1/2015

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Abstract

This study aimed to develop indicators and to establish a procedure that could be used in adjusting functions of a freight station based on many different characteristics of railway logistics. Even though previous studies had drawn optimal models using mathematical algorithms, there was a difficulty in applying those models. Those studies were limited in that they did not consider many different characteristics of railway logistics but were based only on the volume of freight transportation. This study established indicators and procedures by considering characteristics of railway logistics to increase the effectiveness in adjusting functions of the freight station and then analyzed changes in the freight transportation volume and efficiency according to function adjustment of the freight station. As a result, it was shown that the operating cost had decreased more than two-fold compared to the transport income via function adjustment of the freight station.

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Metadaten
Titel
Development of indicators of freight stations for digital convergence
verfasst von
Ohkeun Ha
Bu-Lim Choi
Younjung Kim
Byungkwan Kim
Kang-Dae Lee
Publikationsdatum
01.03.2015
Verlag
Springer US
Erschienen in
Cluster Computing / Ausgabe 1/2015
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-014-0386-8

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