Clustering of maintenance tasks for the danish railway system

Shahrzad M. Pour, Una Benlic

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    Abstract

    Standardisation of the European rail traffic signalling system is an ongoing project for faster travel within the EU, which entails very strict time limits and constraints on recovery operations. Denmark will be the first country to upgrade its entire signalling system to implement the new standards. In this paper, we present a mathematical model for allocation of maintenance tasks to maintenance team members, which is a variant of the Generalized Assignment Problem. The aim is to optimise the following three criteria: (i) the total distance travelled from depots to tasks, (ii) the maximal distance between any maintenance task and its allocated crew member, and (iii) the imbalance in workload among crew members. As test cases, we use a set of instances that simulate the distribution of tasks in the Jutland peninsula, the largest region of Denmark.
    Original languageEnglish
    Title of host publicationInternational Conference on Intelligent Systems Design and Applications
    Volume557
    PublisherSpringer
    Publication date2017
    Pages791-799
    DOIs
    Publication statusPublished - 2017
    SeriesAdvances in Intelligent Systems and Computing
    ISSN2194-5357

    Cite this

    M. Pour, S., & Benlic, U. (2017). Clustering of maintenance tasks for the danish railway system. In International Conference on Intelligent Systems Design and Applications (Vol. 557, pp. 791-799). Springer. Advances in Intelligent Systems and Computing https://doi.org/10.1007/978-3-319-53480-0_78