A GA-based fuzzy resource leveling optimization for helicopter maintenance activity

DOI

10.2991/eusflat.2011.90How to use a DOI?

Keywords

Helicopter, Maintenance, Fuzzy planning, Genetic Algorithm, Resource Leveling,

Abstract

Genetic algorithm is one of the main heuristics that have been applied to scheduling problems in the last few decades. This paper presents a generalization of the genetic algorithm for solving project scheduling problem under time uncertainties within resource leveling technique. The generalization consists of handling fuzzy time parameter and fuzzy resource distribution instead of crisp ones. The provided fuzzy genetic algorithm is justified and applied to a real multi-project and multi-resources problem from the helicopter maintenance activity.

Copyright

© 2011, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Malek Masmoudi
AU  - Alain Hait
PY  - 2011/08
DA  - 2011/08
TI  - A GA-based fuzzy resource leveling optimization for helicopter maintenance activity
BT  - Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-11)
PB  - Atlantis Press
SP  - 665
EP  - 672
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2011.90
DO  - 10.2991/eusflat.2011.90
ID  - Masmoudi2011/08
ER  -