2013 | OriginalPaper | Buchkapitel
Assembly Line Resource Assignment and Balancing Problem of Type 2
verfasst von : Triki Hager, Mellouli Ahmed, Masmoudi Faouzi
Erschienen in: Design and Modeling of Mechanical Systems
Verlag: Springer Berlin Heidelberg
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This paper presents a Multi-Objective Genetic Algorithm (MOGA) for
A
ssembly
L
ine
R
esource
A
ssignment and
B
alancing
P
roblem of type
2(
ALRABP-2). This approach minimizes both the cycle time and cost per hour of the line for a fixed number of stations to satisfy precedence constrains between tasks and compatibility constrains between resources. A modified version of Weighted Pareto-based Multi-Objective Genetic Algorithm (WPMOGA) is used to solve this problem. The effectiveness of the genetic approach has been evaluated through a set of instances randomly generated.