01710448

Component

https://doi.org/10.1177/0361198119859310

The purpose of this study is to investigate and identify the waste from the unloading station of mineral cars using the lean thinking approach. In this paper, one of the largest steel producers is investigated as a case study. The time information was collected from the database system of the factory and railway company from April to July 2017. The wastes were identified by using the value stream map, and to reduce the waste, ten solutions have been proposed based on the changes in: (a) operation management; (b) purchase of new equipment; and (c) infrastructure development. Implementation of solutions using the Planimate simulator software shows that the best strategy consists of a combination of three operational management solutions without having to purchase new equipment and without any infrastructure development, which can improve station performance by up to 52% with regards to the total time for the unloading process. In addition, the valuable time of the whole process has been increased from 9 to 19%. This improvement will result in an increase of 21% in the annual turnover of cars to the station destination. As a result, each car annually carries on average 450?tons more freight, in which case the railway’s revenues from carrying iron ore would be increased by 24% for this destination.

The Standing Committee on Freight Rail Transportation (AR040) peer-reviewed this paper (19-00171). © National Academy of Sciences: Transportation Research Board 2019.

English

pp 915-924

2019-11

Transportation Research Record: Journal of the Transportation Research Board

Web

References (24)

Case studies; Economic efficiency; Environmental impacts; Environmental risk assessment; Freight trains; Industrial wastes; Iron and steel industry; Iron ores; Railroad vehicle operations

Data and Information Technology; Environment; Freight Transportation; Railroads

TRIS, TRB, ATRI

Jun 26 2019 3:04PM