@inproceedings{5ecb8b5a22884989b53c16d771b9344a,
title = "Optimization models for multi-period railway rolling stock assignment",
abstract = "It is necessary for railway companies to construct daily schedules of assigning rolling stocks to utilization paths. A utilization path consists of a series of trains that a particular rolling stock performs in a day. A mixed integer programming model based on Lai et al. [1] is presented and is shown that straightforward applications of the model result in too much computational time and also inappropriate assignment schedules due to end effects. We show that the model can be modified to alleviate these difficulties, and also show that the repeated applications of the optimization model in the rolling horizon allow to generate a feasible assignment schedule for a longer period of time thus indicating the feasibility of the optimization approach.",
keywords = "Inspection requirements, Mixed integer programming, Railway rolling stock, Utilization path",
author = "Susumu Morito and Yuho Takehi and Jun Imaizumi and Takayuki Shiina",
note = "Funding Information: This work was supported by JSPS Kakenhi Grant No. 26350437. The authors would like to express sincere appreciations to Professor Y.C. Lai of National Taiwan University and Mr. Satoshi Kato of Railway Technical Research Institute. Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 4th International Symposium on Combinatorial Optimization, ISCO 2016 ; Conference date: 16-05-2016 Through 18-05-2016",
year = "2016",
doi = "10.1007/978-3-319-45587-7_34",
language = "English",
isbn = "9783319455860",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "393--402",
editor = "Satoru Fujishige and Mahjoub, {Ridha A.} and Raffaele Cerulli",
booktitle = "Combinatorial Optimization - 4th International Symposium, ISCO 2016, Revised Selected Papers",
}