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GA-Based Dynamic Lot Sizing under Stochastic Demands

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F10%3APU88086" target="_blank" >RIV/00216305:26210/10:PU88086 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    GA-Based Dynamic Lot Sizing under Stochastic Demands

  • Original language description

    This paper deals with a dynamic multi-level multi-item lot sizing problem in a general production-assembly structure represented by a directed acyclic network, where each node may have several predecessors and successors. We assume a finite planning horizon consisting of discrete time periods, dynamic lot sizes, multiple constrained resources, time-varying cost parameters and stochastic demands. The objective is to minimize the sum of total production and setup costs and mean values of holding costs andbackorder penalty costs. The paper starts from the deterministic model, and investigates a modification of this model for the case of stochastic demands. A solution method based on genetic algorithm is described and results of computational experimentsare presented.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2010

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    MENDEL 2010. 16th International Conference on Soft Computing

  • ISBN

    978-80-214-4120-0

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    Brno University of Technology

  • Place of publication

    Brno

  • Event location

    Brno University of Technology

  • Event date

    Jun 23, 2010

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article