An efficient multiobjective genetic algorithm for mixed-model assembly line balancing problem considering demand ratio-based cycle time
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Link
http://link.springer.com/content/pdf/10.1007/s10845-009-0295-5.pdf
Reference25 articles.
1. Akagi F., Osaki H., Kikuchi S. (1983) A method for assembly line balancing with more than one worker in each station. International Journal of Production Research 21(5): 755–770
2. Bean J. (1994) Genetic algorithms and random keys for sequencing and optimization. ORSA Journal On Computing 6(2): 154–160
3. Becker C., Scholl A. (2006) A survey on problems and methods in generalized assembly line balancing. European Journal of Operational Research 168(3): 694–715
4. Chen J. H., Ho S. Y. (2005) A novel approach to production planning of flexible manufacturing systems using an efficient multi-objective genetic algorithm. International Journal of Machine Tools and Manufacture 45(7–8): 949–957
5. Dar-EI E. (1973) MALB-a heuristic technique for balancing large single-model assembly lines. AIIE Transactions 34: 343–356
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