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DVOŘÁK, J. GRULICH, M. HERŮDEK, V.
Originální název
GA-Based Dynamic Lot Sizing under Stochastic Demands
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
dynamic lot sizes, general product structure, stochastic demands, genetic algorithm
Autoři
DVOŘÁK, J.; GRULICH, M.; HERŮDEK, V.
Rok RIV
2010
Vydáno
1. 6. 2010
Nakladatel
Brno University of Technology
Místo
Brno
ISBN
978-80-214-4120-0
Kniha
MENDEL 2010. 16th International Conference on Soft Computing
Číslo edice
1
Strany od
453
Strany do
458
Strany počet
6
BibTex
@inproceedings{BUT35283, author="Jiří {Dvořák} and Martin {Grulich} and Vladimír {Herůdek}", title="GA-Based Dynamic Lot Sizing under Stochastic Demands", booktitle="MENDEL 2010. 16th International Conference on Soft Computing", year="2010", number="1", pages="453--458", publisher="Brno University of Technology", address="Brno", isbn="978-80-214-4120-0" }