Ant Colony Algorithm-Based Mixed-Model Assembly Line

Yong-feng Xiong () and Wen-sheng Yang
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Yong-feng Xiong: Nanjing University of Science & Technology
Wen-sheng Yang: Nanjing University of Science & Technology

Chapter Chapter 41 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 423-436 from Springer

Abstract: Abstract The existenceFoundation item: This work is supported by National High-Tech. R&D Program of China under Grant NO. 2011AA040603, Natural Science Foundation of China under Grant NO. 70871060 and the Fundamental Research Funds for the Central Universities of China NO. NUST 2011XQTR10. of common tasks among models is a major feature of the mixed-model assembly line, traditional research were always done without precedence conflicts, so that the problem is simplified. However, the different production processes for different products often lead to conflicts in the actual production. The problem considered in this paper is how some common tasks can be duplicated to improve a mixed-model assembly line considering the precedence conflicts among common tasks for different products. Model was subjected to the constraint of precedence, assignment and cycle time; the objective function combined the efficiency with the smoothing index which can effectively distinguish the same number of workstations solutions. In addition, an ant colony algorithm with hybrid search mechanism is designed. Finally, the proposed mathematical models are illustrated and validated by means of a numerical illustration.

Keywords: Ant colony algorithm; Duplicable tasks; Mixed-model assembly line balancing; Precedence relationships conflict (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-37270-4_41

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DOI: 10.1007/978-3-642-37270-4_41

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