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Author:

Cheng, Qiang (Cheng, Qiang.) | Shen, Hongchao (Shen, Hongchao.) | Chu, Hongyan (Chu, Hongyan.) | Liu, Zhifeng (Liu, Zhifeng.) | Zhang, Caixia (Zhang, Caixia.) | Ren, Jiaxiang (Ren, Jiaxiang.)

Indexed by:

EI Scopus

Abstract:

Long forging production cycle and low equipment utilization are the important problems currently facing domestic die forging ring production lines. To solve this problem, a simulation optimization method for die forging production line based on Flexsim was proposed. Firstly, the ECRS theory method was used to analyze the bottleneck process of the production line. Then, built a logistics simulation model of die forging production line based on Flexsim, The parallel and cycle processing steps was set reasonable parameters and simulated. Next, through logic analysis, methods such as adding processing equipment, improving equipment efficiency and balancing equipment handling tasks were used to optimize and improve the production line. Finally, compared and analyzed the original and optimized model. The simulation results show that the optimized production line equipment task allocation tends to be rationalized, the equipment utilization rate is increased by 4.34%, and the product cycle time is reduced by 27.65%, and optimized planning and design are achieved. © 2020 Institute of Physics Publishing. All rights reserved.

Keyword:

Balancing Dies Product design

Author Community:

  • [ 1 ] [Cheng, Qiang]Institute of Advanced Manufacturing and Intelligent Technology, Beijing Universityof Technology, Beijing; 100124, China
  • [ 2 ] [Cheng, Qiang]Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University, China
  • [ 3 ] [Shen, Hongchao]Institute of Advanced Manufacturing and Intelligent Technology, Beijing Universityof Technology, Beijing; 100124, China
  • [ 4 ] [Shen, Hongchao]Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University, China
  • [ 5 ] [Chu, Hongyan]Institute of Advanced Manufacturing and Intelligent Technology, Beijing Universityof Technology, Beijing; 100124, China
  • [ 6 ] [Chu, Hongyan]Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University, China
  • [ 7 ] [Liu, Zhifeng]Institute of Advanced Manufacturing and Intelligent Technology, Beijing Universityof Technology, Beijing; 100124, China
  • [ 8 ] [Liu, Zhifeng]Mechanical Industry Key Laboratory of Heavy Machine Tool Digital Design andTesting, Beijing University of Technology, Beijing; 100124, China
  • [ 9 ] [Zhang, Caixia]Institute of Advanced Manufacturing and Intelligent Technology, Beijing Universityof Technology, Beijing; 100124, China
  • [ 10 ] [Zhang, Caixia]Mechanical Industry Key Laboratory of Heavy Machine Tool Digital Design andTesting, Beijing University of Technology, Beijing; 100124, China
  • [ 11 ] [Ren, Jiaxiang]Institute of Advanced Manufacturing and Intelligent Technology, Beijing Universityof Technology, Beijing; 100124, China
  • [ 12 ] [Ren, Jiaxiang]Mechanical Industry Key Laboratory of Heavy Machine Tool Digital Design andTesting, Beijing University of Technology, Beijing; 100124, China

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ISSN: 1742-6588

Year: 2020

Issue: 2

Volume: 1624

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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