ISSN:
1433-3015
Keywords:
Key words:Genetic algorithm; Hard disk drive assembly; Line-balancing
Source:
Springer Online Journal Archives 1860-2000
Topics:
Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
Notes:
Abstract. Ever-increasing global competition compels enterprises to continuously improve the performance of their production lines. However, performance improvement in complex production is not easy. In this paper, a simulation-based intelligent production line balancing scheme is presented. The proposed method employs genetic algorithm integrating computer simulation to achieve optimal solutions. For a real-life production line, the proposed formalism can automatically determine an optimal configuration with specified performance indices. A real matrix chromosome coding and a parabolic chromosome selection are also discussed, and a detailed implementation in the Extend™ simulation environment is addressed and a realistic case study is presented.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/s001700050160
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