Abstract
In order to solve the problem of combined Distribution of molds on the mold table in the production line of Prefabricated component, this paper proposes a method that combined improved Bottom-Left (BL) Placement Policy with the improved Electromagnetism-like Mechanism (EM) algorithm to solve the problem. Firstly, the mathematical model of the combined distribution of the mold on the mold table is established. The improved EM algorithm is used to optimize the order of the Prefabricated components. Secondly, according to the size of mold and mold table, the molds are distributed to the mold tables. An improved BL Placement Policy is proposed to determine the angle and position of molds on the mold tables. Finally, through the simulation test of the actual production enterprise’s instance data, the effectiveness of the proposed new method is verified to solve the problem of combined distribution problem of mold on the mold table.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Chen, F., Ren, C., Lu, Z., Guo, S., Wang, Z.: Application of ERP and MES system in intelligent manufacturing of prefabricated building components. J. Concrete World, 103, 39–41 (2018)
Wu, T., Yang, J., Liu, Z., Jiang, X.: Optimization of two-dimensional layout problem based on improved discrete firefly algorithm. J. Chin. Sci. Pap. 13(2), 153–156 (2018)
Song, P., Cui, Y., Chen, X., Yang, Y.: Discrete particle swarm optimization algorithm for solving rectangular components layout problem. J. Mech. Eng. 1, 86–87 (2007)
Wang, Z., Chen, X.: Optimization of die arrangement in the production of preformed panels based on genetic algorithm. J. Eng. Manage. 33(1), 45–49 (2019)
Zhang, L., Wang, Y.: Construction and quality control of small concrete precast members of high speed railway. J. Sichuan Hydropower 37(1), 99–101 (2018)
Liu, M., et al.: Research on production scheduling optimization model of precast concrete members based on MILP algorithm. J. Eng. Manage. 32(6), 121–126 (2018)
Healy, P., Creavin, M., Kuusik, A.: An optimal algorithm for rectangle placement. Oper. Res. 24, 73–80 (1999)
Jiang, Y., Pan, F.: Improved heuristic algorithm for modern industrial production scheduling. J. IJMIC 30(4), 284–292 (2018)
Han, Z., Sun, Y., Lin, S.: Research on electromagnetic algorithms for solving LBFFSP. J. Control Eng. 24(8), 1–8 (2015)
Liu, A., Yang, Y., Li, F., Xing, Q., Lu, H., Zhang, Y.: Chaotic simulated annealing particle swarm optimization research and its application. J. Zhejiang Univ. (Eng. Sci.) 47(10), 1722–1730 (2013)
Zhang, J., Chen, J., Zhang, H.: Job-shop schedule modelling and parents-crossover evolutionary optimization for integrated production schedules. J. IJCAT 58(4), 288–295 (2018)
Li, Y.: Discussion on the production process of fabricated building components. J. Concr. Cem. Prod. 12, 65–68 (2017)
Liu, H., He, Y.: Two-dimensional irregular shape layout algorithm based on center NFP. J. China Mech. Eng. 18(6), 723–731 (2007)
Bilel, N., Mohamed, N.: A novel multi-criteria self-organising migrating algorithm for engineering problems. IJCAT 57(3), 219–227 (2018)
Acknowledgements
Shenyang Science and Technology Bureau Double Hundred Project “Transformation of Digital Factory Technology in Lean Production Mode in Prefabricated Building Prefabricated component Manufacturing Enterprises” (Z18-5-015) January 2018–December 2019.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Luan, F., Wang, S., Han, Z., Cui, H. (2020). EM Algorithm-Based Combined Distribution of Mold on the Mold Table. In: Wang, R., Chen, Z., Zhang, W., Zhu, Q. (eds) Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019). Lecture Notes in Electrical Engineering, vol 582. Springer, Singapore. https://doi.org/10.1007/978-981-15-0474-7_120
Download citation
DOI: https://doi.org/10.1007/978-981-15-0474-7_120
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-0473-0
Online ISBN: 978-981-15-0474-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)