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DVOŘÁK, J., MARTINEK, V., KRÁL, J.
Originální název
Using Genetic Algorithms to Solve a General Dynamic Lot Sizing Problem
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/or successors. We assume a finite planning horizon consisting of discrete time periods, known deterministic demands at each time period, dynamic lot sizes, multiple constrained resources and time-varying cost parameters. The objective is to minimize the sum of setup, production, and inventory holding costs over the planning horizon. We propose the methods for solving this problem based on genetic algorithms.
Klíčová slova v angličtině
dynamic lot sizing, general product structure, multiple constrained resources, genetic algorithms
Autoři
Rok RIV
2002
Vydáno
1. 6. 2002
Nakladatel
Brno University of Technology
Místo
Brno, Czech Republic
ISBN
80-214-2135-5
Kniha
Proceedings of the 8th International Conference on Soft Computing MENDEL 2002
Strany od
125
Strany do
255
Strany počet
131
BibTex
@inproceedings{BUT10556, author="Jiří {Dvořák} and Vlastimil {Martinek} and Jan {Král}", title="Using Genetic Algorithms to Solve a General Dynamic Lot Sizing Problem", booktitle="Proceedings of the 8th International Conference on Soft Computing MENDEL 2002", year="2002", pages="131", publisher="Brno University of Technology", address="Brno, Czech Republic", isbn="80-214-2135-5" }