Optimization and Simulation of Production Lines Based on Flexsim
DOI:
https://doi.org/10.54097/n5nxh467Keywords:
Production line; Flexsim; Balance OptimizationAbstract
With the rising labor cost in recent years, small and medium-sized enterprises are difficult to transform quickly due to the limitation of capital and technology, and thus their competitiveness in the industry becomes weaker. The simulation of production line by Flexsim software can analyze and improve the current situation of the production line at a relatively low cost, and provide corresponding data support for the optimization of the production line. This paper takes the wooden furniture production line of company A as an example, based on the combination of "IE" method and Flexsim simulation software to optimize the problems and bottlenecks in the production system, and uses Flexsim software to verify the simulation and put forward the production line optimization plan. Comparing the simulation data, it can be found that the balance rate of the production line of Company A has been improved by 46.71%, which effectively improves the efficiency of the production line, and provides a certain reference for the optimization of the wooden furniture production line of other small and medium-sized enterprises.
References
[1] LIN Meng, CAO Yukun. Research on the demands of domestic and international market of Chinese wooden furniture industry: Base on the application of differential integrated autoregressive moving average model[J]. Forestry Economy, 2020, 42(6).
[2] M. Chica Serrano O Cordón García S Damas Arroyo J Bautista Valhondo. NTIGen: a software for generating Nissan based instances for time and space assembly line balancing[J]. Lecture Notes in Management & Industrial, 2013, 07(15): 30-34.
[3] Biotto C,Kagioglou M,Koskela L,et al. Comparing Production Design Activities and Location-Based Planning Tools[J]. 2017, 35(5): 105-117.
[4] A. G Campos, R. M Huayhua, C. L Chavarri, C. RIbaez. F Dominguez. Lean Manufacturing Production Management Model using the Johnson Method Approach to Reduce Delivery Delays for Printing Production Lines in the Digital Graphic Design Industry[J]. IOP Conference Series: Materials Science and Engineering, 2020(1): 012002.
[5] Neungmatcha W, Boonmee A. Productivity improvement of motorcycle headlight assembly through line balancing using simulation modeling: a case study[J J]. Current Applied Science and Technology, 2021: 1225.
[6] SONG Ying, TIAN Hong, LI Jingyi. Simulation optimization of T-shirt single-piece production line based on Flexsim [J]. Textile Journal, 2020, 41(01) :145-149.
[7] Huang Yunxiao. Simulation and optimization of production line based on Flexsim[J]. Electromechanical Information, 2020(21):99-100.
[8] LI Hongmin,XIA Jingya,ZHAO Qianyi,et al. Simulation design of wooden structure arch based on Cadwork platform[J]. Forest Industry,2020,57(12):55-60.
[9] SUN Yinghui,DU Jinsong. Flexsim simulation of single-piece assembly line for apparel[J]. Textile Journal,2018,39(06):155-161+166.
[10] Chen Xingyan, Xiang Shilong, Tao Tao. Development status of furniture e-commerce platform[J]. Forest Industry, 2019, 56(10):55-58.
[11] WANG Lina, XU Baiming, ZHANG Zhenhua. Research on the analysis of carving plane processing operation of furniture parts based on IE theory[J]. Furniture, 2017, 38(1):28-33, 56.
[12] LU Jianxia, LAN Xiuju, CHEN Yong, et al. Application of work study in the optimal design of production assembly line[J]. Industrial Engineering and Management, 2004, 9(1):83-85.
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