Modified genetic algorithm for simple straight and U-shaped assembly line balancing with fuzzy processing times-Reference-Cited by-同舟云学术

Modified genetic algorithm for simple straight and U-shaped assembly line balancing with fuzzy processing times

Published:2014-10-17 Issue:2 Volume:28 Page:313-336
ISSN:0956-5515
Container-title:Journal of Intelligent Manufacturing
language:en
Short-container-title:J Intell Manuf

Author:

Alavidoost M. H.,Zarandi M. H. Fazel,Tarimoradi Mosahar,Nemati Yaser

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Link

http://link.springer.com/content/pdf/10.1007/s10845-014-0978-4.pdf

Reference73 articles.

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2. Akpınar, S., & Mirac Bayhan, G. (2011). A hybrid genetic algorithm for mixed model assembly line balancing problem with parallel workstations and zoning constraints. Engineering Applications of Artificial Intelligence, 24, 449–457.

3. Al-Zuheri, A., Luong, L., & Xing, K. (2014) Developing a multi-objective genetic optimisation approach for an operational design of a manual mixed-model assembly line with walking workers. Journal of Intelligent Manufacturing. doi: 10.1007/s10845-014-0934-3 .

4. Arcus, L. A. (1966). COMSOAL: a computer method of sequencing operations for assembly lines. International Journal of Production Research, 4, 25–32.

5. Avikal, S., Jain, R., Mishra, P. K., & Yadav, H. C. (2013). A heuristic approach for U-shaped assembly line balancing to improve labor productivity. Computers & Industrial Engineering, 64, 895–901.

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