Abstract
Two-sided assembly lines are widely used in the assembly of large-sized products, such as automobiles, buses, or trucks. Two-sided assembly line problem is more difficult than single-sided assembly line problem as the operation directions constrain of tasks and the requirement of parallel work in the task distribution procedure. In this paper, the mathematical model of two-sided assembly line balancing problem type-II (TALBP-II) is given first. And then, an improved ant colony algorithm was constructed to solve TALBP-II. In the algorithm, a hybrid ant-based search rule and a heuristic task distribution rule were used in order to establish a feasible solution, global pheromone trail update, and the optimum solution search strategy are also considered. The feasibility of this algorithm was indicated by a case of a loader final assembly line.
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Acknowledgments
This research was partially supported by the National Natural Science Foundation of China (No. 51205328), the Youth Foundation for Humanities and Social Sciences of Ministry of Education of China (No. 12YJCZH296), the PhD Programs Foundation of Ministry of Education of China (No. 200806131014), the Foundation of Sichuan Province Cyclic Economy Research Center (No. XHJJ-1205), and the Fundamental Research Funds for the Central Universities (No. SWJTU09CX022; 2010ZT03).
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Zhang, Z., Hu, J., Cheng, W. (2014). An Ant Colony Algorithm for Two-Sided Assembly Line Balancing Problem Type-II. In: Sun, F., Li, T., Li, H. (eds) Foundations and Applications of Intelligent Systems. Advances in Intelligent Systems and Computing, vol 213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37829-4_31
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DOI: https://doi.org/10.1007/978-3-642-37829-4_31
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