TITLE:
Genetic Algorithm for Concurrent Balancing of Mixed-Model Assembly Lines with Original Task Times of Models
AUTHORS:
Panneerselvam Sivasankaran, Peer Mohamed Shahabudeen
KEYWORDS:
Assembly Line Balancing; Cycle Time; Genetic Algorithm; Crossover Operation; Mixed-Model
JOURNAL NAME:
Intelligent Information Management,
Vol.5 No.3,
May
24,
2013
ABSTRACT: The growing global competition compels manufacturing organizations
to engage themselves in all productivity improvement activities.
In this direction, the consideration of mixed-model assembly line balancing
problem and implementing in industries plays a major role in
improving organizational productivity. In this paper, the mixed model assembly
line balancing problem with deterministic task times is considered. The authors
made an attempt to develop a genetic algorithm for realistic design of the
mixed-model assembly line balancing problem. The design is made using the originnal
task times of the models, which is a realistic approach. Then, it is compared
with the generally perceived design of the mixed-model assembly line balancing
problem.