Publication detail

Using Genetic Algorithm for Production and Maintenance Planning

JANOVEC, J. DVOŘÁK, J.

English title

Using Genetic Algorithm for Production and Maintenance Planning

Type

Paper in proceedings (conference paper)

Language

en

Original abstract

Main task of each production system is to generate maximum possible production. There are strong interactions between production and maintenance planning. This paper deals with an integrated lot sizing and maintenance planning problem. This problem consists in determining the lot sizes and preventive maintenance actions that satisfy resource constraints and the external demands for items and minimize the total setup, production, inventory holding and maintenance (both preventive and corrective) cost over the planning horizon. We propose a method for solving this problem based on genetic algorithms.

Keywords in English

lot sizing; maintenance planning; genetic algorithms

Released

2004-11-01

Publisher

DAAAM International Vienna 2004

Location

Vienna, Austria

ISBN

3-901509-42-9

Book

Annals of DAAAM for 2004 & Proceedings of the 15th International DAAAM Symposium

Pages from–to

187–

Pages count

2

BIBTEX


@inproceedings{BUT17240,
  author="Jiří {Janovec} and Jiří {Dvořák}",
  title="Using Genetic Algorithm for Production and Maintenance Planning",
  booktitle="Annals of DAAAM for 2004 & Proceedings of the 15th International DAAAM Symposium",
  year="2004",
  pages="2",
  publisher="DAAAM International Vienna 2004",
  address="Vienna, Austria",
  isbn="3-901509-42-9"
}