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Y. Bai, H. Zhao and L. Zhu, “Mixed-Model Assembly Line Balancing Using the Hybrid Genetic Algorithm,” International Conference on Measuring Technology and Mechatronics Automation, Zhangjiajie, 11-12 April 2009, pp. 242-245.

has been cited by the following article:

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

  AUTHORS: Panneerselvam Sivasankaran, Peer Mohamed Shahabudeen

  KEYWORDS: Assembly Line Balancing; Cycle Time; Genetic Algorithm; Crossover Operation; Mixed-Model

  JOURNAL NAME: Intelligent Information Management, Vol.5 No.3, May 24, 2013

  ABSTRACT: 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.