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Research on Balancing Problem of Stochastic Two-Sided Mixed-Model Assembly Lines

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LISS 2020
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Abstract

In the design of assembly lines in industrial systems, the adoption of two or more assembly lines is a method to realize high efficiency, which is called parallel assembly lines. In addition, the occurrence of stochastic events in industrial systems is inevitable, thus it is more realistic to regard industrial system as the stochastic environment. For this reason, this article proposes a mathematical model of stochastic mixed-model two-sided assembly line balancing problem (STMALBP), and adopts a genetic algorithm based on feasible sequence real-number encoding to solve STMALBP. The feasibility and effectiveness of the model and algorithm are verified by classical calculating examples, and the proposed algorithm is applied to balance the actual mixed-model assembly line with normal distribution operation time, which provides a valuable reference for the research of assembly line balancing.

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Acknowledgements

This work was partially supported by Beijing Logistics Informatics Research Base and Intelligent Emergency Logistics Linkage System of Public Emergencies in Beijing under Grant 18JDGLB019.

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Correspondence to Beibei Zhang .

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Zhang, B., Chang, D. (2021). Research on Balancing Problem of Stochastic Two-Sided Mixed-Model Assembly Lines. In: Liu, S., Bohács, G., Shi, X., Shang, X., Huang, A. (eds) LISS 2020. Springer, Singapore. https://doi.org/10.1007/978-981-33-4359-7_66

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