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P. Su and Y. Lu, “Combining Genetic Algorithm and Simulation for the Mixed-Model Assembly Line Balancing Problem,” 3rd International Conference on Natural Computation (ICNC 2007), Vol. 4, Haikou, 24-27 August 2007, pp. 314-318.

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.