Optimization of a Factory Line Using Multi-Objective Evolutionary Algorithms-Reference-Cited by-同舟云学术

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Optimization of a Factory Line Using Multi-Objective Evolutionary Algorithms

Published:2015-12-22 Issue: Volume: Page:47-57
ISSN:2194-8917
Container-title:Dynamics in Logistics
language:
Short-container-title:

Author:

Hardin Andrew,Zutty Jason,Bennett Gisele,Huang Ningjian,Rohling Gregory

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-23512-7_5

Reference10 articles.

1. Azadivar F, Wang J (2000) Facility layout optimization using simulation and genetic algorithms. Int J Prod Res 38(17):4369–4383

2. Bennett G (2013) The future of manufacturing utilizing tagging technology. In: Dynamics in logistics. Springer, Berlin, pp 3–11

3. Camuffo A, Volpato G (1996) Dynamic capabilities and manufacturing automation: organizational learning in the Italian automobile industry. Ind Corp Change 5(3):813–838

4. Clarkson E, Hurt J, Zutty J, Skeels C, Parise B, Rohling G (2013) Supporting robust system analysis with the test matrix tool framework. In: Proceedings of the 2013 ACM SIGSIM conference on principles of advanced discrete simulation, pp 23–34

5. Drira A, Pierreval H, Hajri-Gabouj S (2007) Facility layout problems: a survey. Ann Rev Control 31(2):255–267

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Simulation for Decision Support in Process Reengineering in the Automotive Industry;International Journal of Mathematical, Engineering and Management Sciences;2022-03-14

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