Publication detail

GA-Based Dynamic Lot Sizing under Stochastic Demands

DVOŘÁK, J. GRULICH, M. HERŮDEK, V.

Original Title

GA-Based Dynamic Lot Sizing under Stochastic Demands

Type

conference paper

Language

English

Original Abstract

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.

Keywords

dynamic lot sizes, general product structure, stochastic demands, genetic algorithm

Authors

DVOŘÁK, J.; GRULICH, M.; HERŮDEK, V.

RIV year

2010

Released

1. 6. 2010

Publisher

Brno University of Technology

Location

Brno

ISBN

978-80-214-4120-0

Book

MENDEL 2010. 16th International Conference on Soft Computing

Edition number

1

Pages from

453

Pages to

458

Pages count

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"
}