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Solving job shop scheduling with the computer simulation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24210%2F11%3A%230002637" target="_blank" >RIV/46747885:24210/11:#0002637 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Solving job shop scheduling with the computer simulation

  • Original language description

    Computer simulation of discrete events is one of most used tools in the field of manufacturing design and logistics process design, but it is still underestimated in the field of the production scheduling. This article focuses on solving a job shop scheduling problem (JSSP) with computer simulation. There is briefly introduced possible scheduling and optimization by the genetic algorithm in the Plant simulation software. Algorithm is tested on theoretical examples of classical JSSP. Comparison is made to known problems optima. Scheduling software is also used to compare not only ability to reach result near the optimal one, but also the time span of the optimization.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JR - Other machinery industry

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Transport & Logistics

  • ISSN

    1451-107X

  • e-ISSN

  • Volume of the periodical

  • Issue of the periodical within the volume

    9

  • Country of publishing house

    SK - SLOVAKIA

  • Number of pages

    11

  • Pages from-to

    775-785

  • UT code for WoS article

  • EID of the result in the Scopus database