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Application of Genetic Algorithms to Scheduling and Lot Sizing in a Flow Shop

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F00%3A00000162" target="_blank" >RIV/00216305:26210/00:00000162 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Application of Genetic Algorithms to Scheduling and Lot Sizing in a Flow Shop

  • Original language description

    In this paper we investigate a problem of integrated lot sizing and scheduling in a permutation flow shop under the assumption of constant continuous demands over an infinite planning horizon. The objective is to find a sequence of production and lot sizes that minimise the sum of average set-up costs and average inventory holding costs. We study and compare three approaches based on genetic algorithms.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2000

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    6th International Conference on Soft Computing MENDEL 2000

  • ISBN

    80-214-1609-2

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

  • Publisher name

    PC-DIR Brno

  • Place of publication

    Brno, Czech Republic

  • Event location

  • Event date

  • Type of event by nationality

  • UT code for WoS article