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A New Scheduling Approach to Train Platforming Problem

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F17%3A39902750" target="_blank" >RIV/00216275:25510/17:39902750 - isvavai.cz</a>

  • Result on the web

    <a href="http://pernerscontacts.upce.cz/47_2017/Akyol.pdf" target="_blank" >http://pernerscontacts.upce.cz/47_2017/Akyol.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A New Scheduling Approach to Train Platforming Problem

  • Original language description

    The aim of the paper is to introduce a decision-making tool for assignment of trains to platforms. Train platforming problem is formulated as special case of parallel machine scheduling problem in which jobs and parallel machines are synonymous with trains and tracks. Objectives of the model are to minimize total delay of trains and to maximize number of trains (station capacity) and to maximize number of connecting trains assigned to the same platform.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    20101 - Civil engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Perner´s Contacts

  • ISSN

    1801-674X

  • e-ISSN

  • Volume of the periodical

    XII

  • Issue of the periodical within the volume

    2 (July 2017)

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    14

  • Pages from-to

    5-18

  • UT code for WoS article

  • EID of the result in the Scopus database