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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References
Z. Li, Q. Tang, L. Zhang, Two-sided assembly line balancing problem of type I: improved, a simple algorithm and a comprehensive study. Comput. Oper. Res. 79 (2017)
Y.K. Kim, Y. Kim, Y.J. Kim, Two-sided assembly line balancing: a genetic algorithm approach. Prod. Plan. Control 11(1) (2000)
U. Özcan, Balancing stochastic two-sided assembly lines: a chance-constrained, piecewise-line, mixed integer program and a simulated annealing algorithm. Eur. J. Oper. Res. 205(1) (2009)
W.-C. Chiang, T.L. Urban, C. Luo, Balancing stochastic two-sided assembly lines. Int. J. Prod. Res. 54(20), 6232–6250 (2016)
L. Ozbakir, P. Tapkan, Balancing fuzzy multi-objective two-sided assembly lines via Bees algorithm. J. Intell. Fuzzy Syst.: Appl. Eng. Technol. 21(5), 317–329 (2010)
A. Baykasolu, P. Tapkan, L. Özbakir, Bees algorithm for constrained fuzzy multi-objective two-sided assembly line balancing problem. Optim. Lett. 6(6), 1039–1049 (2012)
J. Chen, Q. Zhang, Ant colony algorithm in the application of the assembly line balancing problem. Comput. Era 2008(12), 20–22 (2008)
T. Yang, L. Jiansha, L. Kong, Study on balancing problem of two-sided assembly line with concurrent operation. J. Zhe Jiang Univ. Technol. 39(4), 440–444 (2011)
L. Song, Z. Zhang, W. Chen, Heuristic for two-sided stochastic assembly line balancing. Ind. Eng. J. 14(4), 129–134 (2011)
Y. Zhaoqin, Simulation of uncertainty for mixed-model assembly line balancing problem. China Mech. Eng. 19(11), 297–1302 (2008)
Z. Zhang, Y. Qingliang, Hu Junyi, Hybrid particle swarm optimization algorithm for balancing problem of stochastic mixed-model assembly line. Mach. Des. Res. 29(2), 60–63 (2013)
W. Huang, J. Zhang, Z. Zhou, A beam search approach to stochastic mixed-model assembly line balancing problem. Oper. Res. Manage. Sci. 19(6), 20–26 (2010)
M.S. Yang, L. Ba, H.Y. Zheng, Y. Liu, X.F. Wang, J.Z. He, Y. Li, An integrated system for scheduling of processing and assembly operations with fuzzy operation time and fuzzy delivery time. Adv. Prod. Eng. Manage. 14(3), 367–378 (2019)
C. Jiang, J.T. Xi, Dynamic scheduling in the engineer-to-order (ETO) assembly process by the combined immune algorithm and simulated annealing method. Adv. Prod. Eng. Manage. 14(3), 271–283 (2019)
S.L. Yang, Z.G. Xu, J.Y. Wang, Modelling and production configuration optimization for an assembly shop. Int. J. Simul. Model. 18(2), 366–377 (2019)
H. Wu, A. Tsai, H. Wu, A hybrid multi-criteria decision analysis approach for environmental performance evaluation: an example of the TFT-LCD manufacturers in Taiwan. Environ. Eng. Manage. J. 18, 597–616 (2019)
G.I. Fragapane, C. Zhang, F. Sgarbossa, J.O. Strandhagen, An agent-based simulation approach to model hospital logistics. Int. J. Simul. Model. 18(4), 654–665 (2019)
M.S. Yang, L. Ba, Y. Liu, H.Y. Zheng, J.T. Yan, X.Q. Gao, J.M. Xiao, An improved genetic simulated annealing algorithm for stochastic two-sided assembly line balancing problem. Int. J. Simul. Model. 18(1), 175–186 (2019)
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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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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DOI: https://doi.org/10.1007/978-981-33-4359-7_66
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