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  • 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 and backorder 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 experiments are presented.
  • 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 and backorder 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 experiments are presented. (en)
Title
  • GA-Based Dynamic Lot Sizing under Stochastic Demands
  • GA-Based Dynamic Lot Sizing under Stochastic Demands (en)
skos:prefLabel
  • GA-Based Dynamic Lot Sizing under Stochastic Demands
  • GA-Based Dynamic Lot Sizing under Stochastic Demands (en)
skos:notation
  • RIV/00216305:26210/10:PU88086!RIV11-GA0-26210___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M06047), P(GA103/08/1658)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 260184
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26210/10:PU88086
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • dynamic lot sizes, general product structure, stochastic demands, genetic algorithm (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [0BC8637DE52E]
http://linked.open...v/mistoKonaniAkce
  • Brno University of Technology
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • MENDEL 2010. 16th International Conference on Soft Computing
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Dvořák, Jiří
  • Grulich, Martin
  • Herůdek, Vladimír
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • Vysoké učení technické v Brně
https://schema.org/isbn
  • 978-80-214-4120-0
http://localhost/t...ganizacniJednotka
  • 26210
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