Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikačního výsledku
DVOŘÁK, J.; GRULICH, M.; HERŮDEK, V.
Originální název
GA-Based Dynamic Lot Sizing under Stochastic Demands
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
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.
Anglický abstrakt
Klíčová slova
dynamic lot sizes, general product structure, stochastic demands, genetic algorithm
Klíčová slova v angličtině
Autoři
Rok RIV
2011
Vydáno
01.06.2010
Nakladatel
Brno University of Technology
Místo
Brno
ISBN
978-80-214-4120-0
Kniha
MENDEL 2010. 16th International Conference on Soft Computing
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" }