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Genetic Algorithm for Concurrent Balancing of Mixed-Model Assembly Lines with Original Task Times of Models

Author(s): Panneerselvam Sivasankaran | Peer Mohamed Shahabudeen

Journal: Intelligent Information Management
ISSN 2160-5912

Volume: 05;
Issue: 03;
Start page: 84;
Date: 2013;
Original page

Keywords: Assembly Line Balancing | Cycle Time | Genetic Algorithm | Crossover Operation | Mixed-Model

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.  
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