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Development of indicators of freight stations for digital convergence

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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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References

  1. KORAIL(2012), Work Binders of the Logistics Headquarters.

  2. KORAIL(2012), Data about Operating Results in Integrated Railroad Information System(IRIS).

  3. KORAIL(2012), Data about the volume of freight transportation in IRIS by Year.

  4. Scaparra, M. P. and M. G. Scutella, “Facilities, Locations, Customers: Building Blocks of Location Models: A Survey”, University of Pisa (2001).

  5. Current, J., Daskin, M.S., Schilling, D.: Discrete network location models. In: Drezner, Z., Hamacher, H.W. (eds.) Facility Location: Applications and Theory. Springer, New York (2002)

    Google Scholar 

  6. Campetella, M., Lulli, G., Pietropaoli, U., Ricciardi, N.: Freight service design for the Italian railways company. 6th Workshop on Algorithmic Methods and Models for Optimization of Railways. Dagstuhl, Germany (2006)

  7. Christiansen, J.M.: Designing new European rail freight services. J. Oper. Res. Soc. 60(3), 348–360 (2009)

    Article  MATH  Google Scholar 

  8. Javadian, N., Sayarshad, H.R., Najafi, S.: Using simulated annealing for determination of the capacity of yard stations in a railway industry. Appl. Soft Comput. 11, 1899–1907 (2011)

    Article  Google Scholar 

  9. Sayarshad, H.R., Tavakoli-Moghadam, R.: Solving a multi periodic stochastic model of the rail-car fleet sizing by two-stage optimization formulation. Appl. Math. Model. 34(5), 1164–1174 (2010)

    Article  MATH  MathSciNet  Google Scholar 

  10. KORAIL(2003), An Efficiency Plan for Freight Trains and Freight Stations, Internal data.

  11. KORAIL(2012), A Master Plan for Medium and Long-Term Management Strategies.

  12. MLTM(2011), The Third Basic Plan for Ports All Over the Country (2012\(\sim \)2020).

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Correspondence to Kang-Dae Lee.

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Ha, O., Choi, BL., Kim, Y. et al. Development of indicators of freight stations for digital convergence. Cluster Comput 18, 269–278 (2015). https://doi.org/10.1007/s10586-014-0386-8

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  • DOI: https://doi.org/10.1007/s10586-014-0386-8

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